Ensemble Methods in Data Mining Improving Accuracy Through Combining Predictions
| Author/creator | Seni, Giovanni Author |
| Other author | Elder,John Author |
| Other author | Grossman,Robert Editor |
| Format | Electronic |
| Publication Info | San Rafael : Morgan & Claypool Publishers Williston : American International Distribution Corporation [Distributor] |
| Description | 126 p. 09.250 x 07.500 in. |
| Supplemental Content | Full text available from Computer & Information Science Collection Two |
| Subjects |
| Series | Synthesis Lectures on Data Mining and Knowledge Discovery Ser. |
| Summary | Annotation This book is aimed at novice and advanced analytic researchers and practitioners -- especially in Engineering, Statistics, and Computer Science. Those with little exposure to ensembles will learn why and how to employ this breakthrough method, and advanced practitioners will gain insight into building even more powerful models. Throughout, snippets of code in R are provided to illustrate the algorithms described and to encourage the reader to try the techniques. The authors are industry experts in data mining and machine learning who are also adjunct professors and popular speakers. Although early pioneers in discovering and using ensembles, they here distill and clarify the recent groundbreaking work of leading academics (such as Jerome Friedman) to bring the benefits of ensembles to practitioners. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781608452842 |
| ISBN | 1608452840 (Trade Paper) Active Record |
| Standard identifier# | 9781608452842 |
| Stock number | 01307586 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |