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.
You will study data mining primitives, from which data mining query languages
can be designed. Issues regarding how to integrate a data mining system with a
database or data warehouse are also discussed. In addition to studying a ...
Data cleaning can be applied to remove noise and correct inconsistencies in the
data. Data integration merges data from multiple sources into a coherent data
store, such as a data warehouse. Data transformations, such as normalization,
Data. Warehouse. and. OLAP. Technology: An. Overview. Data warehouses
generalize and consolidate data in multidimensional space. The construction of
data warehouses involves data cleaning, data integration, and data
warehouses. Many people feel that with competition mounting in every industry,
data warehousing is the latest must-have marketing weapon—a way to retain
customers by learning more about their needs. “Then, what exactly is a data ...
Building and using a data warehouse is a complex task because it requires
business skills, technology skills, and program management skills. Regarding
business skills, building a data warehouse involves understanding how such
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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