Screen LibraryTemporal data mining via unsupervised ensemble learning /
By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. --
Saved in:
| Main Authors: | |
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| Published: |
Elsevier,
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| Publisher Address: | Amsterdam, Netherlands : |
| Publication Dates: | [2017] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| Summary: |
By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. -- |
| Carrier Form: | xiii, 157 pages : illustrations, forms ; 24 cm |
| Audience: | Specialized. |
| Bibliography: | Includes bibliographical references (pages 147-154) and index. |
| ISBN: |
9780128116548 (paperback) : 0128116544 (paperback) 9780128118412 (MyiLibrary) 0128118415 (MyiLibrary) |
| Index Number: | QA76 |
| CLC: | TP311.131 |
| Call Number: | TP311.131/Y229 |