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 misleading results unless applied by a skilled and knowledgeable...

 Data Mining Concepts and Techniques

Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven me...

 Data mining and knowledge discovery with Evolutionary Algorithms

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mi...

 Data Mining on Multimedia Data

Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in...

 Data Mining and Predictive Analysis Intelligence Gathering and Crime Analysis

It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples ...

 Database Support for Data Mining Applications Discovering Knowledge with Inductive Queries

Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden...

 Evolutionnary Computation in Data Mining

The series Studies in Fuzziness and Soft Computing contains publications on various areas within so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued...

 Data Mining et apprentissage statistique : application en assurance, banque et marketing Revue des Nouvelles Technologies de l'Information - RNTI - A-1

Ce numéro spécial regroupe des contributions élaborées après des journées organisées avec succès par le département STID de l'IUT de Niort, le 12-13 Mai 2005. La banque et l'assurance produisent et gèrent des bases de données considérables, et leur exploi...

 Fouille du web Revue des Nouvelles Technologies de l'Information - RNTI - W1

Les thèmes de ce numéro spécial concernent les théories, les techniques et les applications de la fouille du Web regroupant, non seulement les traitements des données du Web mais aussi les processus d'aide à l'accès aux données disponibles sur le Web. Les...

 Data mining et statistique décisionnelle L'intelligence des données

Le data mining et la statistique sont de plus en plus répandus dans les entreprises et les organisations soucieuses d'extraire l'information pertinente cachée dans leurs bases de données, en vue d'expliquer et de prévoir. Cette nouvelle édition, revue ...

 Data mining cookbook

Get a data mining recipe for success to increase profits and reduce costs in today's business world with Data Mining Cookbook This book shows yov how to croate and Implenient model of the most commonly asked data mining questions for marketing , sales...

 Web Content Mining with Java Techniques for Exploiting the World's Biggest Information Resource

nlock the potential of the world's biggest database. This practical book shows you how to build portals, construct search engines and other knowledge-based applications to mine the information you need from the Web. Written by a developer for developers...

 Data Preparation for Data Mining Using SAS

Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to pr...

 Data Warehousing and Data Mining Techniques for Cyber Security

Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ab...

 The Text Mining Handbook Advanced Approaches in Analyzing Unstructured Data

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge manage...

 Data Mining for Business Intelligence Concepts, Techniques, and Applications in Microsoft Office Excel® with XLMiner®

Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understandi...

 Multimedia Data Mining and Knowledge Discovery

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge...

 Java Data Mining Strategy, Standard, and Practice - A Practical Guide for architecture, design, and implementation

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 ...

 Introduction to Data Mining International Edition

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics...

 Agent Intelligence Through Data Mining

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 knowledge into the inference mechanisms or simply the behavior of ag...

 Data Mining Concepts and Techniques

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate dat...

 Data Mining and Diagnosing IC Fails

There are many techniques for analyzing IC fails, but they are scattered over the professional IC test and diagnosis literature, and in various statistics and data mining handbooks. Moreover, many data mining techniques that are standard in other data ana...

 Data Mining Methods and Models

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 bas...

 Data mining et statistique décisionnelle L'intelligence dans les bases de données

Le data mining et la statistique décisionnelle sont des disciplines de plus en plus répandues dans les entreprises et les organisations soucieuses d'extraire l'information pertinente cachée dans leurs bases de données, en vue notamment d'améliorer leurs p...

 Privacy Preserving Data Mining

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. These concerns have led to a backlash against the technology,...

 Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first...

 Machine Learning and Data Mining for Computer Security

Machine Learning and Data Mining for Computer Security provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and com...

 Data Mining with SQL Server 2005

Your in-depth guide to using the new Microsoft(r) 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. All you need are the righ...

  Des données à la connaissance Une introduction au data mining

Révolution annoncée de l'ingénierie de la connaissance, permettant de découvrir de nouvelles corrélations, tendances, modèles pertinents au sein des grands entrepôts de données, le data mining (ou fouille de données) promettait de devenir l'outil de veill...

 Introduction to Data Mining

Introduction to Data Mining is a complète introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics. Covers co...

 Data Mining in Bioinformatics

The goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as: - preprocessing tasks such as data cleaning and data integration as applied to biological data - cla...

 Mining Sequential Patterns from Large Data Sets

The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information ...

 Clustering for Data Mining A Data Recovery Approach

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by choosing techniques almost through trial-and-error. Even the most popular clustering methods - K-Means for partitioning the data...

 Next Generation of Data-Mining Applications

This book presents the next generation of data mining applications based on state-of-the art methodologies and techniques for analyzing enormous quantities of raw data in high-dimension Each chapter describes the data mining development process, result...

 Fuzzy Modeling Tools for Data Mining and Knowledge Discovery

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. As you'll discover, fuzzy systems are extraordinarily valuable ...

 Data Mining Next Generation Challenges and future Directions

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data ...

 Data Mining with Microsoft SQL Server 2000 Technical Reference

With its state-of-the-art capabilities for rapidly processing and retrieving huge quantities of data, Microsoft® SQL Server 2000 is quickly growing in popularity among large corporations. But learning how to take advantage of the powerful, built-in data-m...

 Visual Data Mining Techniques and Tools for Data Visualization and Mining

Data mining techniques offer marketing analysts a better understanding of customer buying habits. That data can then be used to develop new marketing campaigns and new products. New visual mining tools are becoming widely available, and can provide a quic...

 Data Mining Techniques

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 methods and techniques to solve common types of business problems ...

 Modern Data Warehousing Mining and Vizualization Core Concepts

For undergraduate/graduate-level courses in Information Systems or Operations and Decision Technologies electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business process...