Data Mining, Southeast Asia Edition
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.
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You will learn about the general architecture of data mining systems, as well as
gain insight into the kinds of data on which mining can be performed, the types of
patterns that can be found, and how to tell which patterns represent useful ...
Data transformation (where data are transformed or consolidated into forms
appropriate for mining by performing summary or aggregation operations, for
instance)2 5. Data mining (an essential process where intelligent methods are
applied in ...
User interface:This module communicates between users and the data mining
system, allowing the user to interact with the system by specifying a data mining
query or task, providing information to help focus the search, and performing ...
“What kind of data mining can be performed on spatial databases?” you may ask.
Data mining may uncover patterns describing the characteristics of houses
located near a specified kind of location, such as a park, for instance. Other
Figure 3.10 shows the result of a roll-up operation performed on the central cube
by climbing up the concept hierarchy for location given in Figure 3.7. This
hierarchy was defined as the total order “street < city < province or state < country
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8 Mining Stream TimeSeries and Sequence Data
9 Graph Mining Social Network Analysis and Multirelational Data Mining
10 Mining Object Spatial Multimedia Text and Web Data
11 Applications and Trends in Data Mining
An Introduction to Microsofts OLE DB for Data Mining