essay topics on data mining

82 Data Mining Essay Topic Ideas & Examples

🏆 best data mining topic ideas & essay examples, 💡 good essay topics on data mining, ✅ most interesting data mining topics to write about.

• Data Mining Classifiers: The Advantages and Disadvantages One of the major disadvantages of this algorithm is the fact that it has to generate distance measures for all the recorded attributes.
• Disadvantages of Using Web 2.0 for Data Mining Applications This data can be confusing to the readers and may not be reliable. Lastly, with the use of Web 2. We will write a custom essay specifically for you by our professional experts 808 writers online Learn More
• Data Warehouse and Data Mining in Business The circumstances leading to the establishment and development of the concept of data warehousing was attributed to the fact that failure to have a data warehouse led to the need of putting in place large […]
• Ethnography and Data Mining in Anthropology The study of cultures is of great importance under normal circumstances to enhance the understanding of the same. Data mining is the success secret of ethnography.
• Summary of C4.5 Algorithm: Data Mining 5 algorism: Each record from set of data should be associated with one of the offered classes, it means that one of the attributes of the class should be considered as a class mark.
• Ethical Implications of Data Mining by Government Institutions Critics of personal data mining insist that it infringes on the rights of an individual and result to the loss of sensitive information.
• The Data Mining Method in Healthcare and Education Thus, I would use data mining in both cases; however, before that, I would discover a way to improve the algorithms used for it.
• Data Mining Tools and Data Mining Myths The first problem is correlated with keeping the identity of the person evolved in data mining secret. One of the major myths regarding data mining is that it can replace domain knowledge.
• Hybrid Data Mining Approach in Healthcare One of the healthcare projects that will call for the use of data mining is treatment evaluation. In this case, it is essential to realize that the main aim of health data mining is to […]
• Terrorism and Data Mining Algorithms However, this is a necessary evil as the nation’s security has to be prioritized since these attacks lead to harm to a larger population compared to the infringements.
• Data Mining and Its Major Advantages Thus, it is possible to conclude that data mining is a convenient and effective way of processing information, which has many advantages.
• Transforming Coded and Text Data Before Data Mining However, to complete data mining, it is necessary to transform the data according to the techniques that are to be used in the process.
• Data Mining and Machine Learning Algorithms The shortest distance of string between two instances defines the distance of measure. However, this is also not very clear as to which transformations are summed, and thus it aims to a probability with the […]
• Data Mining in Social Networks: Linkedin.com One of the ways to achieve the aim is to understand how users view data mining of their data on LinkedIn.
• Issues With Data Mining It is necessary to note that the usage of data mining helps FBI to have access to the necessary information for terrorism and crime tracking.
• Large Volume Data Handling: An Efficient Data Mining Solution Data mining is the process of sorting huge amount of data and finding out the relevant data. Data mining is widely used for the maintenance of data which helps a lot to an organization in […]
• Data Mining and Analytical Developments In this era where there is a lot of information to be handled at ago and actually with little available time, it is necessarily useful and wise to analyze data from different viewpoints and summarize […]
• Levi’s Company’s Data Mining & Customer Analytics Levi, the renowned name in jeans is feeling the heat of competition from a number of other brands, which have come upon the scene well after Levi’s but today appear to be approaching Levi’s market […]
• Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence This paper aims to review the application of A.I.in the context of blockchain finance by examining scholarly articles to determine whether the A.I.algorithm can be used to analyze this financial market.
• Data Mining in Healthcare: Applications and Big Data Analyze Big data analysis is among the most influential modern trends in informatics and it has applications in virtually every sphere of human life.
• “Data Mining and Customer Relationship Marketing in the Banking Industry“ by Chye & Gerry First of all, the article generally elaborates on the notion of customer relationship management, which is defined as “the process of predicting customer behavior and selecting actions to influence that behavior to benefit the company”.
• Data Mining Techniques and Applications The use of data mining to detect disturbances in the ecosystem can help to avert problems that are destructive to the environment and to society.
• Ethical Data Mining in the UAE Traffic Department The research question identified in the assignment two is considered to be the following, namely whether the implementation of the business intelligence into the working process will beneficially influence the work of the Traffic Department […]
• Canadian University Dubai and Data Mining The aim of mining data in the education environment is to enhance the quality of education for the mass through proactive and knowledge-based decision-making approaches.
• Data Mining and Customer Relationship Management As such, CRM not only entails the integration of marketing, sales, customer service, and supply chain capabilities of the firm to attain elevated efficiencies and effectiveness in conveying customer value, but it obliges the organization […]
• E-Commerce: Mining Data for Better Business Intelligence The method allowed the use of Intel and an example to build the study and the literature on data mining for business intelligence to analyze the findings.
• Data Mining Role in Companies The increasing adoption of data mining in various sectors illustrates the potential of the technology regarding the analysis of data by entities that seek information crucial to their operations.
• Data Mining: Concepts and Methods Speed of data mining process is important as it has a role to play in the relevance of the data mined. The accuracy of data is also another factor that can be used to measure […]
• Data Mining Technologies According to Han & Kamber, data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data that in most circumstances is stored in repositories, business databases […]
• Data Mining: A Critical Discussion In recent times, the relatively new discipline of data mining has been a subject of widely published debate in mainstream forums and academic discourses, not only due to the fact that it forms a critical […]
• Commercial Uses of Data Mining Data mining process entails the use of large relational database to identify the correlation that exists in a given data. The principal role of the applications is to sift the data to identify correlations.
• A Discussion on the Acceptability of Data Mining Today, more than ever before, individuals, organizations and governments have access to seemingly endless amounts of data that has been stored electronically on the World Wide Web and the Internet, and thus it makes much […]
• Applying Data Mining Technology for Insurance Rate Making: Automobile Insurance Example
• Applebee’s, Travelocity and Others: Data Mining for Business Decisions
• Applying Data Mining Procedures to a Customer Relationship
• Business Intelligence as Competitive Tool of Data Mining
• Overview of Accounting Information System Data Mining
• Applying Data Mining Technique to Disassembly Sequence Planning
• Approach for Image Data Mining Cultural Studies
• Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues
• Database Data Mining: The Silent Invasion of Privacy
• Data Management: Data Warehousing and Data Mining
• Constructive Data Mining: Modeling Consumers’ Expenditure in Venezuela
• Data Mining and Its Impact on Healthcare
• Innovations and Perspectives in Data Mining and Knowledge Discovery
• Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
• Linking Data Mining and Anomaly Detection Techniques
• Data Mining and Pattern Recognition Models for Identifying Inherited Diseases
• Credit Card Fraud Detection Through Data Mining
• Data Mining Approach for Direct Marketing of Banking Products
• Constructive Data Mining: Modeling Argentine Broad Money Demand
• Data Mining-Based Dispatching System for Solving the Pickup and Delivery Problem
• Commercially Available Data Mining Tools Used in the Economic Environment
• Data Mining Climate Variability as an Indicator of U.S. Natural Gas
• Analysis of Data Mining in the Pharmaceutical Industry
• Data Mining-Driven Analysis and Decomposition in Agent Supply Chain Management Networks
• Credit Evaluation Model for Banks Using Data Mining
• Data Mining for Business Intelligence: Multiple Linear Regression
• Cluster Analysis for Diabetic Retinopathy Prediction Using Data Mining Techniques
• Data Mining for Fraud Detection Using Invoicing Data
• Jaeger Uses Data Mining to Reduce Losses From Crime and Waste
• Data Mining for Industrial Engineering and Management
• Business Intelligence and Data Mining – Decision Trees
• Data Mining for Traffic Prediction and Intelligent Traffic Management System
• Building Data Mining Applications for CRM
• Data Mining Optimization Algorithms Based on the Swarm Intelligence
• Big Data Mining: Challenges, Technologies, Tools, and Applications
• Data Mining Solutions for the Business Environment
• Overview of Big Data Mining and Business Intelligence Trends
• Data Mining Techniques for Customer Relationship Management
• Classification-Based Data Mining Approach for Quality Control in Wine Production
• Data Mining With Local Model Specification Uncertainty
• Employing Data Mining Techniques in Testing the Effectiveness of Modernization Theory
• Enhancing Information Management Through Data Mining Analytics
• Evaluating Feature Selection Methods for Learning in Data Mining Applications
• Extracting Formations From Long Financial Time Series Using Data Mining
• Financial and Banking Markets and Data Mining Techniques
• Fraudulent Financial Statements and Detection Through Techniques of Data Mining
• Harmful Impact Internet and Data Mining Have on Society
• Informatics, Data Mining, Econometrics, and Financial Economics: A Connection
• Integrating Data Mining Techniques Into Telemedicine Systems
• Investigating Tobacco Usage Habits Using Data Mining Approach
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105 Data Mining Essay Topic Ideas & Examples

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Data mining is a powerful tool that helps businesses and organizations uncover hidden patterns, trends, and insights from large datasets. It involves the process of extracting valuable information from raw data, which can then be used for various purposes such as improving decision-making, predicting future outcomes, and understanding customer behavior. If you are a student or a professional looking to write an essay on data mining, here are 105 topic ideas and examples to help you get started.

• The importance of data mining in today's business world
• Ethical considerations in data mining
• The impact of data mining on privacy
• How data mining is used in healthcare to improve patient outcomes
• Predictive analytics: Using data mining to forecast future trends
• Data mining techniques for fraud detection in financial institutions
• The role of data mining in customer relationship management
• The use of data mining in social media marketing
• Data mining and its application in personalized advertising
• The benefits of data mining in supply chain management
• Text mining: Analyzing unstructured data to extract valuable insights
• The challenges of big data mining
• Data mining in e-commerce: Enhancing customer experience
• The role of data mining in improving cybersecurity
• Data mining and its impact on decision-making in organizations
• The use of data mining in predicting stock market trends
• Data mining and its role in recommendation systems
• The benefits of data mining in the education sector
• Data mining techniques for sentiment analysis
• The ethical implications of data mining in government surveillance
• Data mining in the gaming industry: Enhancing player experience
• The role of data mining in personalized medicine
• Data mining techniques for credit scoring and risk assessment
• The use of data mining in sports analytics
• Data mining and its impact on urban planning
• Data mining and its role in weather forecasting
• The challenges of data mining in social network analysis
• Data mining techniques for detecting plagiarism in academic papers
• Data mining and its application in predicting natural disasters
• The role of data mining in improving transportation systems
• Data mining and its impact on online dating platforms
• Data mining for predicting customer churn in telecommunications industry
• The use of data mining in optimizing energy consumption
• Data mining techniques for detecting credit card fraud
• Data mining and its role in personalized news recommendation
• The benefits of data mining in human resources management
• Data mining in healthcare for disease diagnosis and treatment
• Data mining and its impact on online advertising
• Data mining techniques for identifying patterns in gene expression data
• The role of data mining in improving online learning platforms
• Data mining and its application in criminal investigations
• The use of data mining in optimizing manufacturing processes
• Data mining techniques for predicting customer lifetime value
• The benefits of data mining in predicting traffic congestion
• Data mining and its role in predicting customer preferences
• Data mining in environmental analysis and conservation efforts
• Data mining and its impact on personalized financial planning
• The challenges of data mining in healthcare data integration
• Data mining techniques for analyzing social media sentiment
• The role of data mining in improving public safety
• Data mining and its application in fraud detection in insurance industry
• The use of data mining in optimizing online search engines
• Data mining techniques for predicting student performance in education
• Data mining and its impact on improving online user experience
• Data mining and its role in predicting customer satisfaction
• The benefits of data mining in optimizing logistics and supply chain
• Data mining in crime analysis and prevention
• Data mining and its impact on personalization in online shopping
• Data mining techniques for analyzing customer feedback and reviews
• The role of data mining in improving healthcare resource allocation
• Data mining and its application in predicting customer lifetime loyalty
• The use of data mining in optimizing inventory management
• Data mining techniques for detecting fraudulent insurance claims
• Data mining and its role in predicting disease outbreaks
• Data mining in sentiment analysis of political discourse
• Data mining and its impact on improving online voting systems
• The challenges of data mining in analyzing geospatial data
• Data mining techniques for optimizing pricing strategies in retail
• The benefits of data mining in predicting customer churn in telecom industry
• Data mining and its role in improving road safety
• Data mining and its application in predicting customer behavior
• The use of data mining in optimizing energy distribution networks
• Data mining techniques for detecting insider trading in financial markets
• Data mining and its impact on personalized travel recommendations
• Data mining and its role in predicting customer loyalty
• The benefits of data mining in optimizing warehouse operations
• Data mining in fraud detection and prevention in online transactions
• Data mining and its impact on personalized healthcare recommendations
• Data mining techniques for analyzing customer segmentation
• The role of data mining in improving disaster response and recovery
• Data mining and its application in predicting customer lifetime value
• The use of data mining in optimizing fleet management
• Data mining techniques for detecting money laundering activities
• Data mining and its role in predicting customer preferences in online advertising
• The benefits of data mining in optimizing service quality in hospitality industry
• Data mining in predicting student dropout and improving retention
• Data mining and its impact on personalized music recommendations
• Data mining techniques for analyzing patterns in web usage data
• The role of data mining in improving urban mobility and transportation systems
• Data mining and its application in predicting customer satisfaction in retail
• The use of data mining in optimizing healthcare resource allocation
• Data mining techniques for detecting online identity theft
• Data mining and its role in predicting customer lifetime loyalty in e-commerce
• The benefits of data mining in optimizing delivery routes
• Data mining in detecting patterns of online extremist behavior
• Data mining and its impact on enhancing personalized learning experiences
• Data mining techniques for analyzing customer churn in subscription-based services
• The role of data mining in improving disaster risk reduction strategies
• Data mining and its application in predicting customer behavior in online gaming
• The use of data mining in optimizing maintenance schedules for industrial equipment
• Data mining techniques for detecting healthcare fraud and abuse
• Data mining and its role in predicting customer preferences in online travel booking
• The benefits of data mining in optimizing waste management processes
• Data mining in detecting patterns of cyberbullying behavior
• Data mining and its impact on enhancing personalized financial advice

These topic ideas provide a wide range of options for your data mining essay. Whether you are interested in business applications, healthcare, social media, or any other field, there is a topic that suits your interests. Remember to choose a topic that you are passionate about and conduct thorough research to provide a well-informed and insightful essay on data mining.

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Essays on Data Mining

100 samples on this topic

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Business Requirement

Change Record Reviewers

Document Control 2

1 Business Requirements 4 1.1 Project Overview 4 1.2 Background including current process 4 1.3 Scope 4 1.3.1 Scope of Project 4 1.3.2 Constraints and Assumptions 6 1.3.3 Risks 6 1.3.4 Scope Control 7 1.3.5 Relationship to Other Systems/Projects 7

References 8

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Introduction

The Alfa Bank is a medium sized bank, which has branches in Russia, Ukraine, Belorussia, Nederland, and Kazakhstan. The bank is a universal financial institute and provides all types of financial services to individuals, small and medium-sized businesses. Now the bank already has developed hardware and software infrastructure. The operating system for workstations as well as for servers is Windows. It uses Colvir software as ABS, Compass as card system, CRM (customer relationships management) software and different kinds of distance banking solutions for more efficient customer service.

Problem description

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<Course>

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As a newly appointed Chief Information Officer of a $25 million dollar data collection and analysis organization which has been under operation for past two years. It is a newly established organization, and head of the company has given me the responsibility to make this organization more progressive and successful.

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Business involves lot of data and facts to be processed that forms the basis of a sound decision making. This involves analytical method to solve any kind of problem arising in a business. Analytical method is a standard process that combines the power of scientific method with utilization of formal process of problem solving. Business analytics is a much specific process and is defined as the practice of methodical and iterative exploration of data and facts of an organization with prominence on statistical study (Trkman 2010). This forms the basis of data driven decision making.

Data and Techniques

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Business Intelligence and Data Warehouses

Draw Topic & Writing Ideas From This Critical Thinking On Changes Within Starbucks In The Last 2 Years

In review of the changes that Starbucks has implemented in the last 2 years, there appears to have accelerated its expansion into more Asian markets; presented the general public with several new Frappuccino flavors; changed the dynamics of its beverages in terms of calorie count; a coffee education blog was started and the company has sought to involve consumers more in terms of the types of beverages that are offered within its locations.

Specific Information that Was Needed to Make the Decisions

Example Of Leadership In BI Consultancy Dissertation

Sample essay on organizational information systems, good report about automation of the data storage and retrieval.

IT-experts treat data mining (storage) and retrieval as the most important application of the data warehouse technology (see, e.g., Inmon, 1992; Inmon, 1997). In particular (or most largely), this refer to the retrieval of the latent predicting information from large databases (Edelstein, 1997; Thearling, 1998). In the present essay, most important and promising trends of automatic tools to store, mine, retrieve, and process data are reviewed.

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Digital marketing {type) to use as a writing model.

Introduction 3

Methods of accessing digital data 3 Digital Marketing Analytics 4 Social Media Marketing 5 Search Engine Optimization (SEO) 6 3D Printing 7 Customer relations 8 Customer Loyalty 8 Customer Acquisition 9 Customer retention 10 Conclusion 12

References 13

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Free research paper about process of data mining.

Data Mining refers to an analytic process created to explore a large amount of data in search of steady pattern and the systematic association between variables, and then to authenticate the findings by employing the identified patterns to new subsections of data. Predictive data mining has the highest business applications and is a most common form of data mining. The process of data mining comprises three stages such as initial exploration, model building, and deployment [1]. Figure: Example of data mining process [2]

Importance of Data Mining Process Topic

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{Author Name [first-name middle-name-initials last-name]} {Institution Affiliation [name of Author’s institute]}

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Example of big data mining essay.

This paper aims to review a journal article entitled “Data Mining with Big Data” by Xindong Wu, Fellow, IEEE, Xingquan Zhu, Senior Member, IEEE, Gong-Qing Wu, and Wei Ding, Senior Member, IEEE, which was published on January 2014. Furthermore, the paper will be divided into various subsections to provide an organization of the points being reviewed.

Objectives and Domain

Companies Using Similar Approaches As Used By Austin Peay State Essays Examples

Business Intelligence

One of the companies that use data mining approaches is Wal-Mart; the company uses data mining techniques with a major purpose of understanding buying patterns among its targeted clients. In addition, American Express and AT&T are some of the companies that have implemented the use of data mining techniques; they also apply data mining techniques as a means of understanding how consumers behave, hence enhancing their capacities to implement promotional strategies.

Data that the System considers to make course recommendation

The system uses students’ profiles as well as transcripts in order to provide recommendations to the students on the most appropriate course they should select.

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Business Analysis:

1. Explain to the client the type of data generated, collected and what it will be used for. The data generated by the system will include products that the customer may want to purchase based on their shopping history and interests. The data collected by the system will include previous purchases and other customer interests. The data will be used to provide the customer with recommendations in order to make their shopping experience easier.

2. Explain the expected outcomes (positive and negative).

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Good presentation about netflix.

Netflix is an American company, a supplier of films and TV series based on streaming media. Founded in 1997. The headquarters is located in Los Gatos, California. The firm has more than 40 million customers in 41 countries (2013)

Netflix originally engaged to rent movies to a DVD-ROM, using the business model DVD by mail only in the US. This business model works as long as not "blow up" online video market. Therefore, Hastings (CEO) decided to invest heavily in streaming video.

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Good example of business data analysis course work, free essay on data mining techniques.

Data mining refers to the computational process useful for the discovery of large sets of data, which employs methods on knowledge for artificial intelligence, statistics analysis, machine learning and database systems. The data mining process aims at extracting information from a set of data to transform it into a clearly understandable form that is useful for further analysis. Apart from the raw analysis move, the process involves database and data management processes, data pre-processing, model and interface considerations, interestingness metrics, considerations for complexities, post processing for obtained structures, visualization, as well as online updating (Frand, 2013).

Example Of Healthcare Information Course Work

Sample: this helps to slim down the processing time by selection of a representative sample to get a crucial information. Some of the strategies include simple random and the stratification of samples that is a representation of the needed subgroups. It enables extraction of information that are critical. It obviates the problems of data validation, production of substandard results. This could be related to the program to determine the number of cases of individuals moved by the Ebola virus and hence the data should be the number of the great unwashed who are already with the virus.

Information Technology And Proverbs Course Work Examples

There a lot of connection between information technology and biblical concepts of wisdom and intelligence. The book of Proverbs talks about wisdom in almost all the passages. There are many passages where the concepts of wisdom that are presented in the bible relate with what is there in information and data mioniongng and the intelligence and information that come from it. This paper will analyze the concepts of how information technology and the biblical concepts of wisdom are related.

IT relation with biblical concepts

Course Work On Web Technologies

Web technologies

Data mining Data mining is the process of sorting through a collection of data for the purpose of identifying patterns and using the patterns to establish relationships. There is a lot of data processing to get valuable information that can affect the way the organization behaves in future.

Data warehouse

Data warehouse – is a central place where all-important parts of data that various information systems of an enterprise collect. BLOB BLOB (Binary Large Object) is a field of a database that holds any information, which is digitized including text, video, audio, images and video. It can have a large capacity of storage.

Good Essay About Mining For Gold: A Network Approach For Creating Criteria

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The operational environment requires plausible analysis of the internal and external factors that are bound to impede on organizational performance. Through an analysis of the aforesaid aspects, plausible strategies are bound to emerge towards profitable outcomes. Thus, this paper will evaluate Lincoln electric as per the case questions in its venture into India.

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About Amazon.com 3 E-Commerce Solution Key Elements of Amazon.com 4 Technology Infrastructure 4 Datawarehouse and DataMining 6 Datamining to operational efficiency and acheiving sales goals 6 Network Security Threats in E-Commerce Applications 7 Controlling Network Security Threats in E-Commerce Applications 8 Payment Gateway 9 Conclusion 9

Reference 11

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275 words = 1 page double-spaced

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Essays on Data Mining

Data Mining Data mining, or DM, is the process of locating data that has been dispersed within a sizable database. It is a new field that incorporates various specialties, such as database management, statistics, and information science. It is utilized to extract trends and patterns from the recorded data that human...

Big businesses and the need for data mining Big businesses that have been around for a while are aware that their data information builds up into big operational files that are frequently challenging to access for marketing, advertising, sales, and other purposes. Data mining becomes necessary as a result (Ward and...

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Data mining Data mining is a strategic process to understand and analyse data to help businesses make better decisions. Approximately 80% of organisations consider data mining to be very important, and it's no surprise: the volume of data doubles every 1.2 years. This process has changed the way businesses have designed...

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Data Mining Essay Examples

Detection of outlier: data mining.

In data mining reprocessing means preparing data. It is the one of the important and compulsory task. Before applying the data mining technique like association, classification, or clustering noisy and outlier should be removed. We have proposed replicator neural network (runs) as on outlier detecting algorithm....

My Desire to Become a Part of the Hot Field of Data Science

The omnipresence of technology, from digital communications to underwater wireless transmissions, is a testament to the fact that the voluminous amount of data gets generated every second. This data is a driving as well as a defining force behind an infinite number of crucial decisions...

Cognitive Computing in Medical Field with Applications

This paper presents the importance of Cognitive Computing in real life and some important applications of Cognitive Computing in Medical Field. Keywords—cognitive computing, data mining, natural language processing, I To Cognitive computing Cognitive Computing is one of the most researched topic of 21st century. It...

Application of Data Mining Techniques in Pharmacovigilance

To discuss the potential use of data mining and knowledge discovery in databases for detection of adverse drug events (ADE) in pharmacovigilance. A literature search was conducted to identify articles, which contained details of data mining, signal generation or knowledge discovery in relation to adverse...

Application of Data Mining Techniques in the Analysis of Fire Incidents

In recent years, the number of fire accidents decreased slowly, but the losses due to fire accident is still enormous every year. Under these circumstances, with the combination of data mining, data analysis and accident analysis theory, Microsoft SQL Server business intelligence components was used...

Development of Data Mining Applications in Banking Sector

Based on the review of over 100 journals the authors concluded that applying different data mining technique for managing risk, fraud detection and CRM in the banking sector has been successful though there has been exception on big data because of different variable features. The...

Value Creation Using Big Data Mining in Banking

The banking sector deals with an overwhelming amount of data on a day to day basis. Banks have historical records and customer information data dating back to decades. Manually leveraging such enormous amounts of data for making decisions is not only time consuming but involves...

The Role of Artificial Intelligence in Improvement of the Data Mining and Predictive Analytics in Hospitals and Healthcare

Artificial Intelligence is everywhere in our lives before we realize it. It there when you are watching a video on youtube, browsing products on Amazon, or writing some words on google searching box. “AI assistants will become trusted advisers to consumers, anticipating and satisfying their...

Evaluation of Portugese Students' Progress in the Schools of Secondary Education Using Business Intelligence and Data Mining Techniques

Despite of the education levels in the Portuguese population has success in improving in the last decades, according to statistics keep Portugal at the tail of the European continent that's due to the very high student failures, especially the classes of lack of success are...

Television Program Popularity Analysis Using Data Mining Techniques

TV program prominence examination utilizing information mining strategies is a standout amongst the most fascinating and testing errands. A basic interest along this line is to anticipate the fame of online serials, which can empower an extensive variety of uses, for example, web based publicizing...

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