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Text Pre-processing and Faster Query Processing

Text Pre-processing and Faster Query Processing

Text Pre-processing and Faster Query Processing. David Kauchak cs160 Fall 2009 adapted from: http://www.stanford.edu/class/cs276/handouts/lecture2-Dictionary.ppt. Administrative. Everyone have CS lab accounts/access? Homework 1 Page numbers Due before class next Wed.

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855 views • 70 slides
Information Retrieval and Text Mining

Information Retrieval and Text Mining

Lecture 2. Information Retrieval and Text Mining. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing Simple optimization Linear time merging Overview of course topics. Plan for this lecture.

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622 views • 49 slides
CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

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492 views • 42 slides
CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010

CES 514 Data Mining Feb 17, 2010 Lecture 2: The term vocabulary and postings lists. Ch. 1. Recap of the previous lecture. Basic inverted indexes: Structure: Dictionary and Postings Key step in construction: Sorting Boolean query processing

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425 views • 42 slides
Faster postings merges: Skip pointers/Skip lists

Faster postings merges: Skip pointers/Skip lists

Faster postings merges: Skip pointers/Skip lists. Sec. 2.3. Recall basic merge. Walk through the two postings simultaneously, in time linear in the total number of postings entries. 2. 4. 8. 41. 48. 64. 128. Brutus. 2. 8. 1. 2. 3. 8. 11. 17. 21. 31. Caesar.

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74 views • 7 slides

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