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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... the World Wide Web as a global information system has flooded us with a
tremendous amount of data and information. ... techniques of data mining, a
promising and flourishing frontier in data and information systems and their
In this chapter, you will learn how data mining is part of the natural evolution of
database technology, why data mining is important, and how it is defined. You
will learn about the general architecture of data mining systems, as well as gain ...
Data mining is an interdisciplinary field, the confluence of a set of disciplines,
including database systems, statistics, ... Depending on the kinds of data to be
mined or on the given data mining application, the data mining system may also ...
Classification according to the kinds of databases mined: A data mining system
can be classified according to the kinds of databases mined. Database systems
can be classified according to different criteria (such as data models, or the types
(8) having sum(I.price) ≥ 1,000 (9) display as rules The data mining query is
parsed to form an SQL query that retrieves the set of ... Section 1.2 outlined the
major components of the architecture for a typical data mining system (Figure 1.5)
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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