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Data Mining: Opportunities and Challenges
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to...
Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance
Successfully competing in the new global economy requires immediate decision capability. This immediate decision capability requires quick analysis of both timely and relevant data. To support...
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by...
Data Mining with SQL Server 2005
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...
Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
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. This book covers the...
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining...
Data Mining Methods and Models
Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets...
High Performance Data Mining - Scaling Algorithms, Applications and Systems
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. High...
Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management
* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining...
Principles of Data Mining (Adaptive Computation and Machine Learning)
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?...
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
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...
Applied Data Mining : Statistical Methods for Business and Industry (Statistics in Practice)
Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current...
Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence) (Studies in Computational Intelligence)
Data-mining has become a popular research topic in recent years for the treatment of the `data rich and information poor` syndrome. Currently, application oriented engineers are only concerned...
Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence)
`Foundations of Data Mining and Knowledge Discovery` contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including...
Discovering Knowledge in Data: An Introduction to Data Mining
Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously...
Investigative Data Mining for Security and Criminal Detection, First Edition
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. It introduces security...
Data Mining Using Sas Enterprise Miner: A Case Study Approach
Data mining enables you to discover valuable hidden information in your data and use it to solve your business problems. This introductory guide to data mining uses a case study approach that...
Intelligent Agents for Data Mining and Information Retrieval
There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant...
Web Development With SAS by Example
This is the ultimate sourcebook for using SAS Web technologies. The book has been updated for SAS 9.1 and SAS AppDev Studio 3.1. SAS Web technologies provide an extremely powerful and flexible...
Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)
This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is...
Quality Measures in Data Mining (Studies in Computational Intelligence)
Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a...
Agent Intelligence Through Data Mining (Multiagent Systems, Artificial Societies, and Simulated Organizations)
Knowledge, hidden in voluminous data repositories routinely created and maintained by today?s applications, can be extracted by data mining. The next step is to transform this discovered...
Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
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 Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing)
This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM and KD). Its chapters combine many theoretical foundations for various...
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different...
Foundations and Advances in Data Mining (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)
With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to...
Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence)
`Intelligent Data Mining ? Techniques and Applications` is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications...
Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a...
Privacy Preserving Data Mining (Advances in Information Security)
Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy....
Swarm Intelligence in Data Mining (Studies in Computational Intelligence)
Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and...
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