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Mobility, Data Mining and Privacy [electronic resource] : Geographic Knowledge Discovery / edited by Fosca Giannotti, Dino Pedreschi
Mobility, Data Mining and Privacy [electronic resource] : Geographic Knowledge Discovery / edited by Fosca Giannotti, Dino Pedreschi
Creatore [Giannotti, Fosca]
Estensione online resource.
Disciplina 006.312
Accesso persona Pedreschi, Dino
Accesso ente SpringerLink (Online service)
ISBN 9783540751779
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Setting the Stage -- Mobility, Data Mining and Privacy: A Vision of Convergence -- Basic Concepts of Movement Data -- Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process -- Wireless Network Data Sources: Tracking and Synthesizing Trajectories -- Privacy Protection: Regulations and Technologies, Opportunities and Threats -- Managing Moving Object and Trajectory Data -- Trajectory Data Models -- Trajectory Database Systems -- Towards Trajectory Data Warehouses -- Privacy and Security in Spatiotemporal Data and Trajectories -- Mining Spatiotemporal and Trajectory Data -- Knowledge Discovery from Geographical Data -- Spatiotemporal Data Mining -- Privacy in Spatiotemporal Data Mining -- Querying and Reasoning for Spatiotemporal Data Mining -- Visual Analytics Methods for Movement Data.
Record Nr. UMICH-012828788
[Giannotti, Fosca]  
Materiale a stampa
Lo trovi qui: University of Michigan Ann Arbor
Mobility, data mining, and privacy [electronic resource] : geographic knowledge discovery / Fosca Giannotti, Dino Pedreschi, editors
Mobility, data mining, and privacy [electronic resource] : geographic knowledge discovery / Fosca Giannotti, Dino Pedreschi, editors
Estensione 1 online resource (xiv, 410 p.) : ill. (some col.).
Disciplina 025.06/91
Accesso persona Giannotti, Gianni, 1938-
Pedreschi, Dino
ISBN 9783540751762
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UALBERTA-7952066
Materiale a stampa
Lo trovi qui: University of Alberta / NEOS Library Consortium
Mobility, data mining and privacy : geographic knowledge discovery / Fosca Giannotti, Dino Pedreschi, editors
Mobility, data mining and privacy : geographic knowledge discovery / Fosca Giannotti, Dino Pedreschi, editors
Estensione xiv, 410 p. : ill. (some col.), maps (some col.) ; 25 cm.
Accesso persona Giannotti, Gianni, 1938-
Pedreschi, Dino
ISBN 9783540751762 (hard cover : alk. paper)
3540751769 (hard cover : alk. paper)
9783540751779 (ebook)
3540751777 (ebook)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. STANFORD-a7521490
Materiale a stampa
Lo trovi qui: Stanford University
Data Mining and Constraint Programming [electronic resource] : Foundations of a Cross-Disciplinary Approach / edited by Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi
Data Mining and Constraint Programming [electronic resource] : Foundations of a Cross-Disciplinary Approach / edited by Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi
Estensione 1 online resource (XII, 349 p. 73 illus.) online resource.
Disciplina 006.3
Accesso persona Bessière, Christian
De Raedt, Luc.
Kotthoff, Lars
Nijssen, Siegfried
O'Sullivan, Barry
Pedreschi, Dino
Accesso ente SpringerLink (Online service)
Genere/Forma Electronic books
ISBN 9783319501376
9783319501369
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Combinatorial Optimisation in Numberjack -- Data Mining and Constraints: An Overview -- New Approaches to Constraint Acquisition -- ModelSeeker: Extracting Global Constraint Models from Positive Examples -- Learning Constraint Satisfaction Problems: An ILP Perspective -- Learning Modulo Theories -- Algorithm Selection for Combinatorial Search Problems: A Survey -- Adapting Consistency in Constraint Solving -- Modeling in MiningZinc -- Partition-Based Clustering Using Constraint Optimisation -- The Inductive Constraint Programming Loop -- ICON Loop Carpooling Show Case -- ICON Loop Health Show Case -- ICON Loop Energy Show Case.
Record Nr. DUKE-007816488
Materiale a stampa
Lo trovi qui: Duke University
Knowledge Discovery in Databases: PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings
Knowledge Discovery in Databases: PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings
Creatore [Boulicaut, Jean-François]
Estensione 1 online resource.
Disciplina 006.3
Accesso persona Esposito, Floriana
Giannotti, Fosca
Pedreschi, Dino
ISBN 9783540301165
354030116X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Mining Positive and Negative Association Rules: An Approach for Confined Rules -- An Experiment on Knowledge Discovery in Chemical Databases -- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering -- Combining Multiple Clustering Systems -- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms -- A Framework for Data Mining Pattern Management -- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach -- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection -- Properties and Benefits of Calibrated Classifiers -- A Tree-Based Approach to Clustering XML Documents by Structure -- Discovery of Regulatory Connections in Microarray Data -- Learning from Little: Comparison of Classifiers Given Little Training -- Geometric and Combinatorial Tiles in 0-1 Data -- Document Classification Through Interactive Supervision of Document and Term Labels -- Classifying Protein Fingerprints -- Finding Interesting Pass Patterns from Soccer Game Records -- Discovering Unexpected Information for Technology Watch -- Scalable Density-Based Distributed Clustering -- Summarization of Dynamic Content in Web Collections -- Mining Thick Skylines over Large Databases -- Ensemble Feature Ranking -- Privately Computing a Distributed k-nn Classifier -- Incremental Nonlinear PCA for Classification -- A Spectroscopy of Texts for Effective Clustering -- Constraint-Based Mining of Episode Rules and Optimal Window Sizes -- Analysing Customer Churn in Insurance Data -- A Case Study -- Nomograms for Visualization of Naive Bayesian Classifier -- Using a Hash-Based Method for Apriori-Based Graph Mining -- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis -- Classification in Geographical Information Systems -- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach -- Itemset Classified Clustering -- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering -- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining -- A Quantification of Cluster Novelty with an Application to Martian Topography -- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators -- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge -- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources -- A New Scheme on Privacy Preserving Association Rule Mining -- Posters -- A Unified and Flexible Framework for Comparing Simple and Complex Patterns -- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data -- Learning from Multi-source Data -- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- COCOA: Compressed Continuity Analysis for Temporal Databases -- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method -- A Tolerance Rough Set Approach to Clustering Web Search Results -- Improving the Performance of the RISE Algorithm -- Mining History of Changes to Web Access Patterns -- Demonstration Papers -- Visual Mining of Spatial Time Series Data -- Detecting Driving Awareness -- An Effective Recommender System for Highly Dynamic and Large Web Sites -- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections -- Orange: From Experimental Machine Learning to Interactive Data Mining -- Terrorist Detection System -- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels -- Balios -- The Engine for Bayesian Logic Programs -- SEWeP: A Web Mining System Supporting Semantic Personalization -- SPIN! Data Mining System Based on Component Architecture.
Record Nr. UALBERTA-8417634
[Boulicaut, Jean-François]  
Materiale a stampa
Lo trovi qui: University of Alberta / NEOS Library Consortium
Logic in databases : International Workshop LID '96, San Miniato, Italy, July 1-2, 1996 : proceedings / Dino Pedreschi, Carlo Zaniolo, (eds.).
Logic in databases : International Workshop LID '96, San Miniato, Italy, July 1-2, 1996 : proceedings / Dino Pedreschi, Carlo Zaniolo, (eds.).
Estensione 1 online resource (x, 495 p.) : ill.
Disciplina 005.74/01/5113
Accesso persona Pedreschi, Dino
Zaniolo, Carlo
Accesso convegno International Workshop on Logic in Databases (1996 : San Miniato, Italy)
Genere/Forma Electronic books
ISBN 3540618147
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. DUKE-004452010
Materiale a stampa
Lo trovi qui: Duke University