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Indexes And Indexing by Robert Lewis Collison

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1Indexes And Indexing: Guide To The Indexing Of Books And Collections Of Books, Periodicals, Music, Recordings, Films And Other Material, With A Reference Section And Suggestions For Further Reading

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  • Title: ➤  Indexes And Indexing: Guide To The Indexing Of Books And Collections Of Books, Periodicals, Music, Recordings, Films And Other Material, With A Reference Section And Suggestions For Further Reading
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 510.57 Mbs, the file-s for this book were downloaded 42 times, the file-s went public at Wed Jun 24 2020.

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2Census Indexes And Indexing

40 p. ; 21 cm

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  • Title: Census Indexes And Indexing
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 168.79 Mbs, the file-s for this book were downloaded 12 times, the file-s went public at Wed May 24 2023.

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3Secondary Indexing In One Dimension: Beyond B-trees And Bitmap Indexes

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Let S be a finite, ordered alphabet, and let x = x_1 x_2 ... x_n be a string over S. A "secondary index" for x answers alphabet range queries of the form: Given a range [a_l,a_r] over S, return the set I_{[a_l;a_r]} = {i |x_i \in [a_l; a_r]}. Secondary indexes are heavily used in relational databases and scientific data analysis. It is well-known that the obvious solution, storing a dictionary for the position set associated with each character, does not always give optimal query time. In this paper we give the first theoretically optimal data structure for the secondary indexing problem. In the I/O model, the amount of data read when answering a query is within a constant factor of the minimum space needed to represent I_{[a_l;a_r]}, assuming that the size of internal memory is (|S| log n)^{delta} blocks, for some constant delta > 0. The space usage of the data structure is O(n log |S|) bits in the worst case, and we further show how to bound the size of the data structure in terms of the 0-th order entropy of x. We show how to support updates achieving various time-space trade-offs. We also consider an approximate version of the basic secondary indexing problem where a query reports a superset of I_{[a_l;a_r]} containing each element not in I_{[a_l;a_r]} with probability at most epsilon, where epsilon > 0 is the false positive probability. For this problem the amount of data that needs to be read by the query algorithm is reduced to O(|I_{[a_l;a_r]}| log(1/epsilon)) bits.

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  • Title: ➤  Secondary Indexing In One Dimension: Beyond B-trees And Bitmap Indexes
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 11.00 Mbs, the file-s for this book were downloaded 70 times, the file-s went public at Sun Sep 22 2013.

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