6 edition of **Data Mining** found in the catalog.

- 179 Want to read
- 18 Currently reading

Published
**October 1, 2004**
by AAAI Press
.

Written in English

- Databases & data structures,
- Computers,
- Computers - General Information,
- Computer Books: Database,
- Artificial Intelligence - General,
- Machine Theory,
- Computers / Machine Theory,
- Database Management - Database Mining

**Edition Notes**

Contributions | Hillol Kargupta (Editor), Anupam Joshi (Editor), Krishnamoorthy Sivakumar (Editor), Yelena Yesha (Editor) |

The Physical Object | |
---|---|

Format | Paperback |

Number of Pages | 576 |

ID Numbers | |

Open Library | OL9486719M |

ISBN 10 | 0262612038 |

ISBN 10 | 9780262612036 |

A data mining solution can be based either on multidimensional data-that is, an existing cube-or on purely relational data, such as the tables and views in a data warehouse, or on text files, Excel workbooks, or . Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that .

The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the Author: Parteek Bhatia. Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on .

is a platform for academics to share research papers. UH Data Mining Hypertextbook, free for instructors courtesy NSF. Sholom M. Weiss and Nitin Indurkhya, Predictive Data Mining: A Practical Guide, Morgan Kaufmann, Graham Williams, Data Mining .

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