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Geographic Data Mining and Knowledge Discovery
CRC Press 2001; US$ 129.95The definitive volume on geographical knowledge discovery and data mining from geographical databases. more...
Mining Heterogeneous Information Networks
Morgan & Claypool Publishers 2012; US$ 40.00Real world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real world applications that handle big data, including... more...
Data Mining
Elsevier Science 2006; US$ 16.95Our 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,... more...
Link Mining
Springer 2010; US$ 169.99This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer... more...
Data Mining
Elsevier Science 2011; US$ 74.95The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it?s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and... more...
Data Mining
Elsevier Science 2008; US$ 78.95This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to... more...
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