Mining of data with complex structures / (Record no. 90710)

MARC details
000 -LEADER
fixed length control field 02714nam a22002057a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230310b2011 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642267031
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519 HAD-F
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hadzic, Fedja
245 ## - TITLE STATEMENT
Title Mining of data with complex structures /
Statement of responsibility, etc. Fedja Hadzic, Henry Tan and Tharam S. Dillon
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India
Name of publisher, distributor, etc. Springer
Date of publication, distribution, etc. 2011
300 ## - PHYSICAL DESCRIPTION
Extent 326 p.
365 ## - TRADE PRICE
Price type code EU
Unit of pricing 169.99
500 ## - GENERAL NOTE
General note Mining of Data with Complex Structures:<br/><br/>- Clarifies the type and nature of data with complex structure including sequences, trees and graphs<br/><br/>- Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining.<br/><br/>- Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints.<br/><br/>- Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.)<br/><br/>- Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees.<br/><br/>- Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees.<br/><br/>- Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach.<br/><br/>- Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies.<br/><br/>- Details the extension of the TMG framework for sequence mining<br/><br/>- Provides an overview of the future research direction with respect to technical extensions and application areas<br/><br/>The primary audience is 3rd year, 4th year undergraduate students, Masters and PhD students and academics. The book can be used for both teaching and research. The secondary audiences are practitioners in industry, business, commerce, government and consortiums, alliances and partnerships to learn how to introduce and efficiently make use of the techniques for mining of data with complex structures into their applications. The scope of the book is both theoretical and practical and as such it will reach a broad market both within academia and industry. In addition, its subject matter is a rapidly emerging field that is critical for efficient analysis of knowledge stored in various domains.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer algorithms
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
365 ## - TRADE PRICE
-- 41918
-- 17602
-- Euro
-- 23.05.2023
-- 27.05.2023
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     510 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 10/03/2023 519 HAD-F 47114 13/07/2024 10/03/2023 Course Reference Books
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

© 2024 BITS-Library, BITS-Hyderabad, India.