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020 _a9783319672748
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024 7 _a10.1007/978-3-319-67274-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aTrends and Applications in Knowledge Discovery and Data Mining
_h[electronic resource] :
_bPAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers /
_cedited by U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 203 p. 80 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10526
505 0 _aEarly Classification of Multivariate Time Series on Distributed and In-Memory Platforms -- Behavior Classification of Dairy Cows fitted with GPS collars -- Dynamic Real-time Segmentation and Recongnition of Activities using a Multi-feature Windowing Approach -- Feature Extraction from EEG data for a P300 Based Brain-computer Interface -- Thermal Stratification Prediction at Lake Trevallyn -- Development of a Software Vulnerability Prediction Web Service based on Artificial Neural Networks -- Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining -- Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure -- CNN-based Sequence Labeling for Fine-grained Opinion Mining of Microblogs -- A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles -- Self-Adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems -- Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation -- GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem -- Shelf Time Analysis in CTP Insurance Claims Processing -- Automated Product-Attribute Mapping -- A Novel Extreme Learning Machine-based Classification Algorithm for Uncertain Data -- SPGLAD: A Self-Paced Learning-based Crowdsourcing Classification Model.
520 _aThis book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aMedical informatics.
_94729
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9118196
650 0 _aComputer science.
_99832
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9118197
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9118198
650 2 4 _aTheory of Computation.
_9118199
700 1 _aKang, U.
_eeditor.
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_9118200
700 1 _aLim, Ee-Peng.
_eeditor.
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_9118201
700 1 _aYu, Jeffrey Xu.
_eeditor.
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_9118202
700 1 _aMoon, Yang-Sae.
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_4edt
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_9118203
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-67274-8
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