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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This explosive growth in stored or transient data has generated an urgent need
for new techniques and automated tools that can intelligently assist us in
transforming the vast amounts of data into useful information and knowledge.
This book ...
The data mining step may interact with the user or a knowledge base. The
interesting patterns are presented to the user and may be stored as new
knowledge in the knowledge base. Note that according to this view, data mining
is only one ...
The data are stored to provide information from a historical perspective (such as
from the past 5–10 years) and are typically summarized. For example, rather than
storing the details of each sales transaction, the data warehouse may store a ...
First, a DB system provides a great deal of flexibility and efficiency at storing,
organizing, accessing, and processing data. Without using a DB/DW ... using
such systems. Moreover, most data have been or will be stored in DB/DW
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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