eBook By Category (Data Mining)

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding...

The technologies in data mining have been successfully applied to bioinformatics research in the past few years, but more research in this field is necessary...

Knowledge, hidden in voluminous data repositories routinely created and maintained by today’s applications, can be extracted by data mining...

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns...

This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM and KD)...

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate...

Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases...

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery...

Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategic Risk Assessment based on Organizational Modelling A companion Web site features downloads of large data sets used in the chapter projects, with a discussion area and message board, where readers are encouraged to exchange ideas

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science...

The unparalleled author team of Berry and Linoff are back with an invaluable revised edition to their groundbreaking text The world of data mining has changed tremendously since the publication of the first edition of Data Mining Techniques in 1997...

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance)...

Finding information hidden in data is as theoretically difficult as it is practically important...

One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain...

Your in-depth guide to using the new Microsoft® data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered...

Our ability to generate and collect data has been increasing rapidly...

Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining...

This is the second edition of the author's Data Mining book...

Data mining has been an area of considerable research and application in Australia and the region for many years...

Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right...

Massive amounts of textual data make up most organizations stored information...

This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms...

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially...

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome...

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research...

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government...

High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area...

There is a large increase in the amount of information available on World Wide Web and also in number of online databases...

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications...

Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century...

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component...

A practical, step-by-step approach to making sense out of data

Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project...

"Berry and Linoff lead the reader down an enlightened path of best practices...

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided...

The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining...

The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data...

With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance...

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large...

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines...

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas...

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data...

Data mining analyzes large amounts of data to discover knowledge relevant to decision making...

"Activities in data warehousing and mining are constantly emerging...

The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data...

Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management...

Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data...

This is the ultimate sourcebook for using SAS Web technologies...