Search (2 results, page 1 of 1)
- Did you mean:
- rswk_00%3a%20information retrieval %2f lehrbuch%22 2
- rswk_00%3a%20information retrieval %2f lehrbuchs%22 2
- rswk_00%3a%20information retrieval %2f lehrbuches%22 2
- rswk_00%3a%20information retrieval %2f lehrfach%22 2
- rswk_00%3a%20information retrieval %2f lesebuch%22 2
-
Wartik, S.; Fox, E.; Heath, L.; Chen, Q.-F.: Hashing algorithms (1992)
0.02
0.015872994 = product of: 0.06349198 = sum of: 0.06349198 = weight(_text_:retrieval in 3510) [ClassicSimilarity], result of: 0.06349198 = score(doc=3510,freq=6.0), product of: 0.13710396 = queryWeight, product of: 3.024915 = idf(docFreq=5836, maxDocs=44218) 0.045324896 = queryNorm 0.46309367 = fieldWeight in 3510, product of: 2.4494898 = tf(freq=6.0), with freq of: 6.0 = termFreq=6.0 3.024915 = idf(docFreq=5836, maxDocs=44218) 0.0625 = fieldNorm(doc=3510) 0.25 = coord(1/4)
- Abstract
- Discusses hashing, an information storage and retrieval technique useful for implementing many of the other structures in this book. The concepts underlying hashing are presented, along with 2 implementation strategies. The chapter also contains an extensive discussion of perfect hashing, an important optimization in information retrieval, and an O(n) algorithm to find minimal perfect hash functions for a set of keys
- Source
- Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
-
Wartik, S.: Boolean operators (1992)
0.01
0.012960245 = product of: 0.05184098 = sum of: 0.05184098 = weight(_text_:retrieval in 3509) [ClassicSimilarity], result of: 0.05184098 = score(doc=3509,freq=4.0), product of: 0.13710396 = queryWeight, product of: 3.024915 = idf(docFreq=5836, maxDocs=44218) 0.045324896 = queryNorm 0.37811437 = fieldWeight in 3509, product of: 2.0 = tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 3.024915 = idf(docFreq=5836, maxDocs=44218) 0.0625 = fieldNorm(doc=3509) 0.25 = coord(1/4)
- Abstract
- Presents an overview of Boolean operations, which are one means of expressing queries in information retrieval systems. The concepts of Boolean operations are introduced, and 2 implementations based on sets are given. One implementation uses bit vectors; the other, hashing. The relative performance characteristics of the approaches are shown
- Source
- Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
Authors
- Chen, Q.-F. 1
- Fox, E. 1
- Heath, L. 1