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000 -LEADER | |
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fixed length control field | 01696nam a22002057a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241120b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789811396663 |
Paper back/Hardbound | pbk |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.312 |
Item number | OLS |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Olson, David L |
245 ## - TITLE STATEMENT | |
Title | Predictive data mining models |
Statement of responsibility, etc | / David L. Olson and Desheng Wu |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Springer |
Name of publisher | Singapore |
Year of publication | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xi, 125 p. |
Other physical details | ill. |
Dimensions | 23 cm. |
490 ## - SERIES STATEMENT | |
Series statement | Computational risk management |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on prescriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Business Data processing |
Topical Term | Data Mining |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Reference |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
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Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 21.08.2024 | 006.312 OLS | 697901 | 21.08.2024 | Reference |