com Abstract Data cleaning based on similarities involves identi64257ca tion of close tuples where closeness is evaluated using a variety of similarity functions chosen to suit the domain and application Current approaches for ef64257ciently implemen ID: 6823 Download Pdf
com surajitcmicrosoftcom viveknarmicrosoftcom Abstract Automatically selecting an appropriate set of materialized views and indexes for SQL databases is a nontrivial task A judicious choice must be costdriven and influenced by the workload experience
LPAR 2008 . –. Doha, Qatar. Nikolaj . Bjørner. , . Leonardo de Moura. Microsoft Research. Bruno . Dutertre. SRI International. Satisfiability Modulo Theories (SMT). Accelerating lemma learning using joins.
com Matthai Philipose Microsoft Research One Microsoft Way Redmond WA 98052 USA matthaipmicrosoftcom Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are n
1. Recap. Map-reduce ✔️. Algorithms with multiple map-reduce steps. Naïve . bayes. test routine for large datasets and large models. Cleanly describing these algorithms. workflow (or dataflow) languages .
1. Sim. Joins on Product Descriptions. Surface s. imilarity . can be . high. for descriptions of . distinct. items:. AERO TGX-Series Work Table -42'' x 96'' Model 1TGX-4296 All tables shipped KD AEROSPEC- 1TGX Tables are .
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In this paper we investigate scalable techniques for inducing discriminative features by taking ad vantage of simple second order structure in the data We focus on multiclass classi64257cation and show that features extracted from the generalized ei
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com Abstract Data cleaning based on similarities involves identi64257ca tion of close tuples where closeness is evaluated using a variety of similarity functions chosen to suit the domain and application Current approaches for ef64257ciently implemen
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