Introduction to Business Data Mining
Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business under...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York
McGraw-Hill/Irwin
2007
©2007 |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 100 | 1 | # | |a Olson, David Louis |e author |
| 245 | 1 | 0 | |a Introduction to Business Data Mining |c David Olson, Yong Shi |
| 264 | # | 1 | |a New York |b McGraw-Hill/Irwin |c 2007 |
| 264 | # | 1 | |c ©2007 |
| 300 | # | # | |a xiii, 273 pages |b illustrations |c 26 cm |
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| 520 | # | # | |a Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding. A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining. |
| 526 | 0 | # | |a STA761 |b CS702 |5 CS |
| 526 | 0 | # | |a Statistical Data Mining |b Sarjana Sains Statistik Gunaan |5 Faculty of Computer Science and Mathematics |
| 650 | # | 0 | |a Business |x Data processing |
| 650 | # | 0 | |a Data mining |
| 700 | 1 | # | |a Shi, Yong |d 1956- |e author |
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Introduction to business data mining