Mining of Massive Datasets
Ranked #22 in Data Mining, Ranked #25 in Big Data — see more rankings.
The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related... more
Rankings by Category
Mining of Massive Datasets is ranked in the following categories:
- #33 in Computer Vision
- #76 in Data Science
- #32 in Machine Learning
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