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New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008, Revised Selected Papers 2009 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 214 pages, height x width: 235x155 mm, weight: 454 g, XIV, 214 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 5433
  • Izdošanas datums: 16-Feb-2009
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642003982
  • ISBN-13: 9783642003981
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 214 pages, height x width: 235x155 mm, weight: 454 g, XIV, 214 p., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 5433
  • Izdošanas datums: 16-Feb-2009
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642003982
  • ISBN-13: 9783642003981
Asdataminingtechniquesandtoolsmature,theirapplicationdomainsextendto previousuncharteredterritories.The commontheme ofthe workshopsorganized along with the main 2008 Paci c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) in Osaka, Japan was to extend the application of data mining techniques to new frontiers. Thus the title of the proceedings: “New Frontiers in Application of Data Mining.” For the 2008 program, three workshops were organized. 1. Algorithms for Large-Scale Information Processing (ALSIP). The focus of the workshop was novel algorithms and data structures to deal with p- cessing of very large data sets. 2. Data Mining for Decision Making and Risk Management (DMDRM), which emphasized applications of risk information derived from data mining te- niques on diverse applications ranging from medicine to marketing to chemistry. 3. Interactive Data Mining (IDM), which emphasized the relationship between techniques in data mining and human–computer interaction. In total 38 papers were submitted to the workshops. After consultation with theworkshopChairswhowereaskedto ranktheir submissions,18wereaccepted for publicationin this volume.We hope that the published papers propelfurther interest in the growing ?eld of knowledge discovery in databases (KDD). The paper selection of the industrial track and the workshops was made by the Program Committee of each organization. Upon the paper selection, the book was edited and managed by the volume editors.
Workshop of ALSIP 2008.- Flexible Framework for Time-Series Pattern
Matching over Multi-dimension Data Stream.- An Adaptive Algorithm for
Splitting Large Sets of Strings and Its Application to Efficient External
Sorting.- Incrementally Mining Recently Repeating Patterns over Data
Streams.- A Graph-Based Approach for Sentiment Sentence Extraction.- Fuzzy
Weighted Association Rule Mining with Weighted Support and Confidence
Framework.- A Framework for Mining Fuzzy Association Rules from Composite
Items.- Mining Mutually Dependent Ordered Subtrees in Tree Databases.- A Tree
Distance Function Based on Multi-sets.- Sibling Distance for Rooted Labeled
Trees.- Kernel Functions Based on Derivation.- Workshop of DMDRM 2008.-
Dynamic Bayesian Networks for Acquisition Pattern Analysis: A
Financial-Services Cross-Sell Application.- An Automata Based Authorship
Identification System.- Detection of Risk Factors as Temporal Data Mining.-
Workshop of IDM 2008.- Two-Phased Active Support Kernel Machine Learning.-
Extracting Topic Maps from Web Pages.- Interactive Abnormal Condition Sign
Discovery for Hydroelectric Power Plants.- Interactive Visualization System
for Decision Making Support in Online Shopping.- A Method to Recognize and
Count Leaves on the Surface of a River Using Users Knowledge about Color of
Leaves.