Advances in Knowledge Discovery and Data Mining : 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings - neues Buch
2007, ISBN: 9783540717010
This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new idea… Mehr…
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2007, ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, eBooks, eBook Download (PDF), Auflage, [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg… Mehr…
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2007, ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], Seiten: 1186, Springer-Verlag, 2007
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2007, ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], Springer-Verlag, 2007
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Advances in Knowledge Discovery and Data Mining : 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings - neues Buch
2007, ISBN: 9783540717010
This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new idea… Mehr…
2007, ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, eBooks, eBook Download (PDF), Auflage, [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg… Mehr…
2007
ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], Seiten: 1186, Springer-Verlag, 2007
2007, ISBN: 9783540717010
11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], Springer-Verlag, 2007
ISBN: 9783540717010
There is currently no description available Books > Computer Science eBook, Springer Shop
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Detailangaben zum Buch - Advances in Knowledge Discovery and Data Mining
EAN (ISBN-13): 9783540717010
Erscheinungsjahr: 2007
Herausgeber: Springer-Verlag
Buch in der Datenbank seit 2009-07-10T10:59:13+02:00 (Berlin)
Detailseite zuletzt geändert am 2022-11-17T08:22:45+01:00 (Berlin)
ISBN/EAN: 9783540717010
ISBN - alternative Schreibweisen:
978-3-540-71701-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hang, zhou yang, hua, yan han, peter fulde
Titel des Buches: china now, data mining, knowledge discovery, pacific discovery
Daten vom Verlag:
Autor/in: Zhi-Hua Zhou; Hang Li; Qiang Yang
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings
Verlag: Springer; Springer Berlin
1161 Seiten
Erscheinungsjahr: 2007-06-21
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XXV, 1161 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; data mining; data warehouse; database; databases; knowledge discovery; knowledge-based system; knowledge-based systems; learning; machine learning; statistics; visualization; warehousing; C; Data Structures and Information Theory; Artificial Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Probability and Statistics in Computer Science; Multimedia Information Systems; Data Structures and Information Theory; Artificial Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Probability and Statistics in Computer Science; Multimedia Information Systems; Computer Science; Informationstheorie; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; Grafische und digitale Media-Anwendungen; BC
Keynote Speeches.- Research Frontiers in Advanced Data Mining Technologies and Applications.- Finding the Real Patterns.- Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing.- Multi-modal and Multi-granular Learning.- Regular Papers.- Hierarchical Density-Based Clustering of Categorical Data and a Simplification.- Multi-represented Classification Based on Confidence Estimation.- Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal.- Mining Frequent Itemsets from Uncertain Data.- QC4 - A Clustering Evaluation Method.- Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery.- Deriving Private Information from Arbitrarily Projected Data.- Consistency Based Attribute Reduction.- A Hybrid Command Sequence Model for Anomaly Detection.- ?-Algorithm: Structured Workflow Process Mining Through Amalgamating Temporal Workcases.- Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic.- An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph.- A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitting.- Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.- Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation.- A Timing Analysis Model for Ontology Evolutions Based on Distributed Environments.- An Optimum Random Forest Model for Prediction of Genetic Susceptibility to Complex Diseases.- Feature Based Techniques for Auto-Detection of Novel Email Worms.- Multiresolution-Based BiLinear Recurrent Neural Network.- Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus.- Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant.- A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data.- Discovering Correlated Items in Data Streams.- Incremental Clustering in Geography and Optimization Spaces.- Estimation of Class Membership Probabilities in the Document Classification.- A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees.- A Constrained Clustering Approach to Duplicate Detection Among Relational Data.- Understanding Research Field Evolving and Trend with Dynamic Bayesian Networks.- Embedding New Data Points for Manifold Learning Via Coordinate Propagation.- Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA).- On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks.- A Clustering Algorithm Based on Mechanics.- DLDA/QR: A Robust Direct LDA Algorithm for Face Recognition and Its Theoretical Foundation.- gPrune: A Constraint Pushing Framework for Graph Pattern Mining.- Short Papers.- Modeling Anticipatory Event Transitions.- A Modified Relationship Based Clustering Framework for Density Based Clustering and Outlier Filtering on High Dimensional Datasets.- A Region-Based Skin Color Detection Algorithm.- Supportive Utility of Irrelevant Features in Data Preprocessing.- Incremental Mining of Sequential Patterns Using Prefix Tree.- A Multiple Kernel Support Vector Machine Scheme for Simultaneous Feature Selection and Rule-Based Classification.- Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering.- Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge.- A Hybrid Incremental Clustering Method-Combining Support Vector Machine and Enhanced Clustering by Committee Clustering Algorithm.- CCRM: An Effective Algorithm for Mining Commodity Information from Threaded Chinese Customer Reviews.- A Rough Set Approach to Classifying Web Page Without Negative Examples.- Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed.- Establishing Semantic Relationship in Inter-query Learning for Content-Based Image Retrieval Systems.- Density-Sensitive Evolutionary Clustering.- Reducing Overfitting in Predicting Intrinsically Unstructured Proteins.- Temporal Relations Extraction in Mining Hepatitis Data.- Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder.- Combining Convolution Kernels Defined on Heterogeneous Sub-structures.- Privacy-Preserving Sequential Pattern Release.- Mining Concept Associations for Knowledge Discovery Through Concept Chain Queries.- Capability Enhancement of Probabilistic Neural Network for the Design of Breakwater Armor Blocks.- Named Entity Recognition Using Acyclic Weighted Digraphs: A Semi-supervised Statistical Method.- Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.- Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB.- A Hybrid Prediction Method Combining RBF Neural Network and FAR Model.- An Advanced Fuzzy C-Mean Algorithm for Regional Clustering of Interconnected Systems.- Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering.- Concept Interconnection Based on Many-Valued Context Analysis.- Text Classification for Thai Medicinal Web Pages.- A Fast Algorithm for Finding Correlation Clusters in Noise Data.- Application of Discrimination Degree for Attributes Reduction in Concept Lattice.- A Language and a Visual Interface to Specify Complex Spatial Patterns.- Clustering Ensembles Based on Normalized Edges.- Quantum-Inspired Immune Clonal Multiobjective Optimization Algorithm.- Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines.- Mining the Impact Factors of Threads and Participators on Usenet Using Link Analysis.- Weighted Rough Set Learning: Towards a Subjective Approach.- Multiple Self-Splitting and Merging Competitive Learning Algorithm.- A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition.- Experiments on Kernel Tree Support Vector Machines for Text Categorization.- A New Approach for Similarity Queries of Biological Sequences in Databases.- Anomaly Intrusion Detection Based on Dynamic Cluster Updating.- Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information.- Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams.- BRIM: An Efficient Boundary Points Detecting Algorithm.- Syntactic Impact on Sentence Similarity Measure in Archive-Based QA System.- Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure.- Principal Curves with Feature Continuity.- Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation.- Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.- A Cooperative Coevolution Algorithm of RBFNN for Classification.- ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases.- Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network.- ProMail: Using Progressive Email Social Network for Spam Detection.- Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction.- A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis.- Keyword Extraction Based on PageRank.- Finding the Optimal Feature Representations for Bayesian Network Learning.- Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines.- Resource Allocation and Scheduling Problem Based on Genetic Algorithm and Ant Colony Optimization.- Image Classification and Segmentation for Densely Packed Aggregates.- Mining Temporal Co-orientation Pattern from Spatio-temporal Databases.- Incremental Learning of Support Vector Machines by Classifier Combining.- Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels.- A Practical Method for Approximate Subsequence Search in DNA Databases.- An Information Retrieval Model Based on Semantics.- AttributeNets: An Incremental Learning Method for Interpretable Classification.- Mining Personalization Interest and Navigation Patterns on Portal.- Cross-Lingual Document Clustering.- Grammar Guided Genetic Programming for Flexible Neural Trees Optimization.- A New Initialization Method for Clustering Categorical Data.- L0-Constrained Regression for Data Mining.- Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS.- Density-Based Data Clustering Algorithms for Lower Dimensions Using Space-Filling Curves.- Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification.- Using Social Annotations to Smooth the Language Model for IR.- Affection Factor Optimization in Data Field Clustering.- A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination.- Graph Nodes Clustering Based on the Commute-Time Kernel.- Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data.- A Parallel Algorithm for Learning Bayesian Networks.- Incorporating Prior Domain Knowledge into a Kernel Based Feature Selection Algorithm.- Geo-spatial Clustering with Non-spatial Attributes and Geographic Non-overlapping Constraint: A Penalized Spatial Distance Measure.- GBKII: An Imputation Method for Missing Values.- An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix.- Towards Comprehensive Privacy Protection in Data Clustering.- A Novel Spatial Clustering with Obstacles Constraints Based on Particle Swarm Optimization and K-Medoids.- Online Rare Events Detection.- Structural Learning About Independence Graphs from Multiple Databases.- An Effective Method For Calculating Natural Adjacency Relation in Spatial Database.- K-Centers Algorithm for Clustering Mixed Type Data.- Proposion and Analysis of a TCP Feature of P2P Traffic.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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