Arrives by Thursday, Oct 3. Or get it by Wed, Sep 25 with faster delivery. Pickup not available.
Operators for Similarity Search. Semantics, Techniques and Usage Scenarios. Authors: P, Deepak, Deshpande, Prasad M. Free Preview. Introduces the field of . Operators for Similarity Search: Semantics, Techniques and Usage Scenarios This book provides a comprehensive tutorial on similarity operators.
About This Item We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here, and we have not verified it.
See our disclaimer. Customer Reviews. Write a review.
See any care plans, options and policies that may be associated with this product. Email address. Please enter a valid email address.
Walmart Services. Cambridge: Cambridge University Press, Modern information retrieval : the concepts and technology behind search.
Harlow: Pearson, The approach combines theory, algorithms and practical examples. Osnova Introduction — What is searching, Things useful to know Support for Distributed Processing — Distributed file system, MapReduce, Algorithms using MapReduce, Cost model and performance evaluation Retrieval Operators and Result Evaluations — Common similarity search operators, Retrieval metrics Clustering — K-means algorithms, Clustering in non-Euclidean spaces, Clustering for streams and parallelism Finding Frequent Item Sets — Handling large datasets in main memory, Counting frequent items in a stream Finding Similar Items — Applications of near-neighbor search, Shingling of documents, Similarity-preserving summaries of sets, Locality sensitive hashing Searching in Data Streams — The stream data model, Filtering streams Link Analysis — Page Rank, Topic sensitive, Link spam Search Applications — Advertising on the web, Recommendation systems collaborative filtering , Mining social-network graphs Seznam.
Operators for similarity search : semantics, techniques and usage scenarios.
Cham: Springer, Mining of massive datasets.