Fast Decision Tree To Index Large DNA-Protein Sequence Datasets

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2012, 2012

3659254762 / 9783659254765

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This item is printed on demand - Print on Demand Titel. Neuware -The significant growth in biological data has motivated important research by computer scientists into creating fast and accurate algorithms for accessing the database at the fastest possible rates. Therefore, there still remains the need for an efficient indexing approach to speed up the searching time for large biological data, to help the biologists to retrieve the exiting information quickly, from any biological database. Furthermore, the trends in parallel programming models has also encouraged the computer researchers to improve the indexing approaches to cope with this exponential increase. This book adopted a Decision Tree method as an Indexing Model (DTIM), to allow for large databases to be processed. This method of indexing could effectively and rapidly retrieve all similar DNA-Proteins data from a large database for a given query. The decision tree indexing model (PDTIM) was then parallelized, using a hybrid of distributed and shared memory to accelerate the index building time. Finally, to improve the accuracy rate for decision tree algorithm, the decision tree was hybridized with a harmony search algorithm (HDT-HS).OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 196 pp. Englisch.…

Seller Inventory # 9783659254765

Title
Fast Decision Tree To Index Large DNA-Protein Sequence Datasets
Author
Khalid Mohammad Jaber
Publisher
LAP LAMBERT Academic Publishing Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659254762
ISBN 13
9783659254765
Item weight
310 grams
Dimensions
220x150x13 mm

buchversandmimpf2000

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