Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings: Lecture Notes in Computer Science, cartea 4213
Editat de Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulouen Limba Engleză Paperback – 15 sep 2006
Din seria Lecture Notes in Computer Science
- 20% Preț: 1040.03 lei
- 20% Preț: 333.46 lei
- 20% Preț: 335.08 lei
- 20% Preț: 444.17 lei
- 20% Preț: 238.01 lei
- 20% Preț: 333.46 lei
- 20% Preț: 438.69 lei
- Preț: 440.52 lei
- 20% Preț: 336.71 lei
- 20% Preț: 148.66 lei
- 20% Preț: 310.26 lei
- 20% Preț: 256.27 lei
- 20% Preț: 632.22 lei
- 17% Preț: 427.22 lei
- 20% Preț: 641.78 lei
- 20% Preț: 307.71 lei
- 20% Preț: 1053.45 lei
- 20% Preț: 579.56 lei
- Preț: 373.56 lei
- 20% Preț: 330.23 lei
- 15% Preț: 429.74 lei
- 20% Preț: 607.39 lei
- 20% Preț: 538.29 lei
- Preț: 389.48 lei
- 20% Preț: 326.98 lei
- 20% Preț: 1386.07 lei
- 20% Preț: 1003.66 lei
- 20% Preț: 567.60 lei
- 20% Preț: 575.48 lei
- 20% Preț: 571.63 lei
- 20% Preț: 747.79 lei
- 15% Preț: 568.74 lei
- 17% Preț: 360.19 lei
- 20% Preț: 504.57 lei
- 20% Preț: 172.69 lei
- 20% Preț: 369.12 lei
- 20% Preț: 346.40 lei
- 20% Preț: 574.05 lei
- Preț: 402.62 lei
- 20% Preț: 584.40 lei
- 20% Preț: 747.79 lei
- 20% Preț: 809.19 lei
- 20% Preț: 649.49 lei
- 20% Preț: 343.16 lei
- 20% Preț: 309.90 lei
- 20% Preț: 122.89 lei
Preț: 651.50 lei
Preț vechi: 814.38 lei
-20% Nou
Puncte Express: 977
Preț estimativ în valută:
124.68€ • 129.51$ • 103.57£
124.68€ • 129.51$ • 103.57£
Carte tipărită la comandă
Livrare economică 03-17 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540453741
ISBN-10: 3540453741
Pagini: 688
Ilustrații: XXII, 660 p.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.95 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540453741
Pagini: 688
Ilustrații: XXII, 660 p.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.95 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Talks.- On Temporal Evolution in Data Streams.- The Future of CiteSeer: CiteSeerx.- Learning to Have Fun.- Winning the DARPA Grand Challenge.- Challenges of Urban Sensing.- Long Papers.- SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery.- Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.- Clustering Scientific Literature Using Sparse Citation Graph Analysis.- VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences.- Don’t Be Afraid of Simpler Patterns.- An Adaptive Prequential Learning Framework for Bayesian Network Classifiers.- Adaptive Active Classification of Cell Assay Images.- Learning Parameters in Entity Relationship Graphs from Ranking Preferences.- Detecting Fraudulent Personalities in Networks of Online Auctioneers.- Measuring Constraint-Set Utility for Partitional Clustering Algorithms.- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering.- Optimal String Mining Under Frequency Constraints.- k-Anonymous Decision Tree Induction.- Closed Sets for Labeled Data.- Finding Trees from Unordered 0–1 Data.- Web Communities Identification from Random Walks.- Information Marginalization on Subgraphs.- Why Does Subsequence Time-Series Clustering Produce Sine Waves?.- Transductive Learning for Text Classification Using Explicit Knowledge Models.- Exploring Multiple Communities with Kernel-Based Link Analysis.- Distribution Rules with Numeric Attributes of Interest.- Tractable Models for Information Diffusion in Social Networks.- Efficient Spatial Classification Using Decoupled Conditional Random Fields.- Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.- An Attacker’s View of Distance Preserving Maps for Privacy Preserving Data Mining.- A Scalable Distributed Stream Mining System for Highway Traffic Data.- K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance.- The Discrete Basis Problem.- Evaluation of Summarization Schemes for Learning in Streams.- Efficient Mining of Correlation Patterns in Spatial Point Data.- Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs.- Refining Aggregate Conditions in Relational Learning.- Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification.- RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings.- Distributed Subgroup Mining.- Network Flow for Collaborative Ranking.- Short Papers.- Finding Hierarchies of Subspace Clusters.- Integrating Pattern Mining in Relational Databases.- Discovering Patterns in Real-Valued Time Series.- Classification of Dementia Types from Cognitive Profiles Data.- When Efficient Model Averaging Out-Performs Boosting and Bagging.- Peak-Jumping Frequent Itemset Mining Algorithms.- Autonomous Visualization.- Naive Bayes for Text Classification with Unbalanced Classes.- Knowledge-Conscious Data Clustering.- On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining.- Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles.- Efficient Name Disambiguation for Large-Scale Databases.- Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures.- A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction.- Discovering Image-Text Associations for Cross-Media Web Information Fusion.- Mining Sequences of Temporal Intervals.- Pattern Teams.- Compression Picks Item Sets That Matter.- Discovering Overlapping Communities of Named Entities.- Closed Non-derivable Itemsets.- Learning a Distance Metric for Object Identification Without Human Supervision.- Towards Association Rules with Hidden Variables.- A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry.- Incremental Aspect Models for Mining Document Streams.- Learning Approximate MRFs from Large Transaction Data.- Similarity Search for Multi-dimensional NMR-Spectra of Natural Products.