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Big Data

Big Data

Big Data. Lecture 6: Locality Sensitive Hashing (LSH). Nearest Neighbor . Given a set P of n points in R d. Nearest Neighbor . Want to build a data structure to answer nearest neighbor queries. Voronoi Diagram. Build a Voronoi diagram & a point location data structure.

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658 views • 40 slides
Efficient and Effective Link Analysis with Precomputed SALSA Maps

Efficient and Effective Link Analysis with Precomputed SALSA Maps

Efficient and Effective Link Analysis with Precomputed SALSA Maps. Marc Najork (Microsoft Research, Mt View, CA, USA) Nick Craswell (Microsoft Live Search, Cambridge, UK). Outline. The problem Framework & previous results Review of SALSA; introduction of CS-SALSA

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430 views • 28 slides
Efficient and Effective Link Analysis with Precomputed SALSA Maps

Efficient and Effective Link Analysis with Precomputed SALSA Maps

Efficient and Effective Link Analysis with Precomputed SALSA Maps. Marc Najork (Microsoft Research, Mt View, CA, USA) Nick Craswell (Microsoft Live Search, Cambridge, UK). Outline. The problem Framework & previous results Review of SALSA; introduction of CS-SALSA

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403 views • 28 slides
Mechanism Design in Sponsored Search Auction

Mechanism Design in Sponsored Search Auction

Mechanism Design in Sponsored Search Auction. Syrgkanis Vasileios. Outline. Introduction Mechanisms GFP GSP VCG Laddered Budgets Conclusions. Ingredients. Advertiser-provided content Advertiser-provided bids that value traffic on specified concepts or keywords.

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399 views • 27 slides
Stream Data

Stream Data

Stream Data. Operator Ordering ? Query Optimization Query Index. Query Optimization. Operator Ordering Problem Assumption A query consists of a set of commutative filters Filter Drop or Select Overall processing costs can vary widely across different filter order Ex

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425 views • 25 slides
Clustering Data Streams

Clustering Data Streams

Clustering Data Streams. Chun Wei Dept Computer & Information Technology Advisor: Dr. Sprague. Data Stream. Massive data sets accumulated at an astonishing rate. Examples: Tracking network data to study change in traffic patterns and possible intrusions

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373 views • 19 slides

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