By JIN CHEQING & ZHOU AOYING,Aoying Zhou
Data uncertainty broadly exists in lots of functions, and an doubtful info move is a chain of doubtful tuples that arrive quickly. in spite of the fact that, conventional recommendations for deterministic info streams can't be utilized to house info uncertainty at once a result of exponential progress of attainable answer space.
This ebook offers a finished evaluation of the authors' paintings on querying and mining doubtful information streams. Its contents comprise a few very important discoveries facing ordinary subject matters resembling top-k question, ER-Topk question, rarity estimation, set similarity, and clustering.
Querying and Mining doubtful information Streams is written for pros, researchers, and graduate scholars in info mining and its a variety of comparable fields.
- Top-k Queries Over the Sliding-window Model
- ER-Topk question Over the Landmark Model
- Rarity Estimation
- Set Similarity
Readership: scholars and pros fascinated about information mining, mammoth facts, and knowledge gathering.
- The first ebook on doubtful info flow management
- There exist major contributions on regular topics
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