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|a 9783642136726
|9 978-3-642-13672-6
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|a 10.1007/978-3-642-13672-6
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|a 006.312
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|a Advances in Knowledge Discovery and Data Mining, Part II
|h [electronic resource] :
|b 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010, Proceedings /
|c edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi.
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|a 1st ed. 2010.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
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|a 520 p. 161 illus.
|b online resource.
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|a text
|b txt
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|a computer
|b c
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|a online resource
|b cr
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 6119
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| 505 |
0 |
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|a Session 4B. Dimensionality Reduction/Parallelism -- Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization -- Distributed Knowledge Discovery with Non Linear Dimensionality Reduction -- DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud -- An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA -- Session 5A. Novel Applications -- Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data -- Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis -- Satrap: Data and Network Heterogeneity Aware P2P Data-Mining -- Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs) -- Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure -- Session 5B. Feature Selection/Visualization -- A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K???1 -- Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition -- Learning Gradients with Gaussian Processes -- Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz -- Session 6A. Graph Mining -- Subgraph Mining on Directed and Weighted Graphs -- Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph -- A Framework for SQL-Based Mining of Large Graphs on Relational Databases -- Fast Discovery of Reliable k-terminal Subgraphs -- GTRACE2: Improving Performance Using Labeled Union Graphs -- Session 6B. Clustering II -- Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering -- Rule Synthesizing from Multiple Related Databases -- Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering -- Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures -- Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models -- Session 7A. Opinion/Sentiment Mining -- Opinion-Based Imprecise Query Answering -- Blog Opinion Retrieval Based on Topic-Opinion Mixture Model -- Feature Subsumption for Sentiment Classification in Multiple Languages -- Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents -- Classification and Pattern Discovery of Mood in Weblogs -- Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic -- Session 7B. Stream Mining -- Fast Perceptron Decision Tree Learning from Evolving Data Streams -- Classification and Novel Class Detection in Data Streams with Active Mining -- Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification -- Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach -- Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams -- Subsequence Matching of Stream Synopses under the Time Warping Distance -- Session 8A. Similarity and Kernels -- Normalized Kernels as Similarity Indices -- Adaptive Matching Based Kernels for Labelled Graphs -- A New Framework for Dissimilarity and Similarity Learning -- Semantic-Distance Based Clustering for XML Keyword Search -- Session 8B. Graph Analysis -- oddball: Spotting Anomalies in Weighted Graphs -- Robust Outlier Detection Using Commute Time and Eigenspace Embedding -- EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs -- BASSET: Scalable Gateway Finder in Large Graphs -- Session 8C. Classification II -- Ensemble Learning Based on Multi-Task Class Labels -- Supervised Learning with Minimal Effort -- Generating Diverse Ensembles to Counter the Problem of Class Imbalance -- Relationship between Diversity and Correlation in Multi-Classifier Systems -- Compact Margin Machine.
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| 650 |
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0 |
|a Data mining.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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0 |
|a Application software.
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| 650 |
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0 |
|a Information storage and retrieval systems.
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| 650 |
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0 |
|a Database management.
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| 650 |
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|a Algorithms.
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| 650 |
1 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Computer and Information Systems Applications.
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
|
| 650 |
2 |
4 |
|a Database Management.
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| 650 |
2 |
4 |
|a Algorithms.
|
| 700 |
1 |
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|a Zaki, Mohammed J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Yu, Jeffrey Xu.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Ravindran, B.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Pudi, Vikram.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642136719
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642136733
|
| 830 |
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0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 6119
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| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-13672-6
|z Texto Completo
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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