Knowledge Acquisition: Approaches, Algorithms and Applications Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers /

This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers pres...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Richards, Debbie (Επιμελητής έκδοσης), Kang, Byeong-Ho (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Σειρά:Lecture Notes in Computer Science, 5465
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04548nam a22005895i 4500
001 978-3-642-01715-5
003 DE-He213
005 20170124023140.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783642017155  |9 978-3-642-01715-5 
024 7 |a 10.1007/978-3-642-01715-5  |2 doi 
040 |d GrThAP 
050 4 |a Q334-342 
050 4 |a TJ210.2-211.495 
072 7 |a UYQ  |2 bicssc 
072 7 |a TJFM1  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Knowledge Acquisition: Approaches, Algorithms and Applications  |h [electronic resource] :  |b Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers /  |c edited by Debbie Richards, Byeong-Ho Kang. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a X, 243 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5465 
505 0 |a Machine Learning and Data Mining -- Experiments with Adaptive Transfer Rate in Reinforcement Learning -- Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation -- Automatic Database Creation and Object’s Model Learning -- Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures -- Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining -- A Novel Classification Algorithm Based on Association Rules Mining -- Incremental Knowledge Acquisition -- Multiple Classification Ripple Round Rules: A Preliminary Study -- Generalising Symbolic Knowledge in Online Classification and Prediction -- Web-Based Techniques and Application -- Using Formal Concept Analysis towards Cooperative E-Learning -- Navigation and Annotation with Formal Concept Analysis -- What Does an Information Diffusion Model Tell about Social Network Structure? -- Web Mining for Malaysia’s Political Social Networks Using Artificial Immune System -- Accessing Touristic Knowledge Bases through a Natural Language Interface -- ItemSpider: Social Networking Service That Extracts Personal Character from Individual’s Book Information -- Acquiring Marketing Knowledge from Internet Bulletin Boards -- Domain Specific Knowledge Acquisition Methods and Applications -- A Design for Library Marketing System and Its Possible Applications -- Knowledge Audit on Special Children Communities -- A Dance Synthesis System Using Motion Capture Data -- Discovering Areas of Expertise from Publication Data -- Facial Feature Extraction Using Geometric Feature and Independent Component Analysis. 
520 |a This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008. The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications. 
650 0 |a Computer science. 
650 0 |a Data structures (Computer science). 
650 0 |a Database management. 
650 0 |a Data mining. 
650 0 |a Information storage and retrieval. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Data Structures, Cryptology and Information Theory. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a Database Management. 
700 1 |a Richards, Debbie.  |e editor. 
700 1 |a Kang, Byeong-Ho.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642017148 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5465 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-01715-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (Springer-11645)