Data uncertainty widely exists in many applications, and an
uncertain data stream is a series of uncertain tuples that arrive
rapidly. However, traditional techniques for deterministic data
streams cannot be applied to deal with data uncertainty directly
due to the exponential growth of possible solution space.This book
provides a comprehensive overview of the authors' work on querying
and mining uncertain data streams. Its contents include some
important discoveries dealing with typical topics such as top-k
query, ER-Topk query, rarity estimation, set similarity, and
clustering.Querying and Mining Uncertain Data Streams is written
for professionals, researchers, and graduate students in data
mining and its various related fields.
General
| Imprint: |
World Scientific Publishing Co Pte Ltd
|
| Country of origin: |
Singapore |
| Series: |
East China Normal University Scientific Reports, 3 |
| Release date: |
July 2016 |
| First published: |
2017 |
| Authors: |
Cheqing Jin
• Aoying Zhou
|
| Dimensions: |
226 x 152 x 13mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
164 |
| ISBN-13: |
978-981-3108-78-3 |
| Categories: |
Books >
Computing & IT >
Applications of computing >
Databases >
General
|
| LSN: |
981-3108-78-9 |
| Barcode: |
9789813108783 |
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