Discovering knowledge in data: An introduction to data mining (Record no. 1708)
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| fixed length control field | 02233nam a2200241 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250731101304.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250731b2014|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781118873588 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Larose, Daniel T. |
| Relator term | Author |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Larose, Chantal D. |
| Relator term | Co-Author |
| 245 ## - TITLE STATEMENT | |
| Title | Discovering knowledge in data: An introduction to data mining |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Jersey: |
| Name of publisher | Wiley Data and Cybersecurity, |
| Year of publication | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xviii, 316p. |
| 500 ## - GENERAL NOTE | |
| General note | The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.<br/><br/>This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining .<br/><br/>The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis.<br/>Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization<br/>Offers extensive coverage of the R statistical programming language<br/>Contains 280 end-of-chapter exercises<br/>Includes a companion website for university instructors who adopt the book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Introduction to Data Mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data Preprocessing and Exploratory Data Analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Univariate Statistical Analysis and Multivariate Statistics |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/servlet/opac?bknumber=10066951 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | e-Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Coded location qualifier | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | Ebook (Online Access) | --- | 006.3 | EB0132 | e-Books |