Data Mining, Second Edition, Second Edition : Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems)

eBook Information

Data Mining, Second Edition, Second Edition : Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems) ISBN  1558609016 Release Date  03 November 2005 Category  Data Mining Tags  mining,   "data mining",   kamber,   data mining concepts and techniques,   data mining: concepts and techniques,   1558609016,   jaiwei han and micheline kamber,   micheline kamber,   jaiwai han and micheline kamber,   data mining,   data mining:concepts and techniques,   data mining concepts and technique,   morgan kaufmann,   morgan kaufmann publishers,   datamining concepts and techniques,   advanced concepts in operating system,   kaufmann,   concepts and techniques,   text mining,   data mining : concepts and techniques,   data mining and concepts,   jaiwen han and micheline kamber,   data mining concepts and techniques jiawei han,   data mining concept and technique,   morgan,   This book @Amazon  View Tools Google Search Web flazx.com

Description 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 data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data including stream data, sequence data, graph structured data, social network data, and multi-relational data. Whether you are a seasoned professional or a new student of data mining, this book has much to offer you: * A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data. * Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning. * Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects. * Complete classroom support for instructors at www.mkp.com/datamining2e companion site. Other books on Data Mining Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference) Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Principles of Data Mining (Undergraduate Topics in Computer Science) Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence) Research And Trends in Data Mining Technologies And Applications (Advances in Data Warehousing and Mining Series) (Advances in Data Warehousing and Mining ... in Data Warehousing and Mining Series) Quality Measures in Data Mining (Studies in Computational Intelligence) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)