Fosca Giannotti (56 results)

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Condition: New. In English.

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Condition: New. pp. 588.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Supportin. …

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.- Filtered Reinforcement Learning.- Applying Support Vector Machines to Imbalanced Datasets.- Sensitivity Analysis of the Result in Binary Decision Trees.- A Boosting Approach to Multiple Instance Learning.- An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games.- Learning from Message Pairs for Automatic Email Answering.- Concept Formation in Expressive Description Logics.- Multi-level Boundary Classification for Information Extraction.- An Analysis of Stopping and Filtering Criteria for Rule Learning.- Adaptive Online Time Allocation to Search Algorithms.- Model Approximation for HEXQ Hierarchical Reinforcement Learning.- Iterative Ensemble Classification for RelationalData: A Case Study of Semantic Web Services.- Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics.- Experiments in Value Function Approximation with Sparse Support Vector Regression.- Constructive Induction for Classifying Time Series.- Fisher Kernels for Logical Sequences.- The Enron Corpus: A New Dataset for Email Classification Research.- Margin Maximizing Discriminant Analysis.- Multi-objective Classification with Info-Fuzzy Networks.- Improving Progressive Sampling via Meta-learning on Learning Curves.- Methods for Rule Conflict Resolution.- An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.- Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection.- Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework.- Justification-Based Selection of Training Examples for Case Base Reduction.- Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers.- Feature Selection Filters Based on the Permutation Test.- Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning.- Improving Random Forests.- The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.- Using String Kernels to Identify Famous Performers from Their Playing Style.- Associative Clustering.- Learning to Fly Simple and Robust.- Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees.- Inducing Polynomial Equations for Regression.- Efficient Hyperkernel Learning Using Second-Order Cone Programming.- Effective Voting of Heterogeneous Classifiers.- Convergence and Divergence in Standard and Averaging Reinforcement Learning.- Document Representation for One-Class SVM.- Naive Bayesian Classifiers for Ranking.- Conditional Independence Trees.- Exploiting Unlabeled Data in Content-BasedImage Retrieval.- Population Diversity in Permutation-Based Genetic Algorithm.- Simultaneous Concept Learning of Fuzzy Rules.- Posters.- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.- Estimating Attributed Central Orders.- Batch Reinforcement Learning with State Importance.- Explicit Local Models: Towards 'Optimal' Optimization Algorithms.- An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes.- Cluster-Grouping: From Subgroup Discovery to Clustering. …

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the proceedings of the 12th International Conference on Social Informatics, SocInfo 2020, held in Pisa, Italy, in October 2020. The 30 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers presented in this volume cover a broad range of topics, ranging from works that ground information-system design on social concepts, to papers that analyze complex social systems using computational methods, or explore socio-technical systems using social sciences methods.…

Taschenbuch. Condition: Neu. Social Informatics | 12th International Conference, SocInfo 2020, Pisa, Italy, October 6-9, 2020, Proceedings | Samin Aref (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2020 | Springer | EAN 9783030609740 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condition: Brand New. 480 pages. 9.25x6.10x1.09 inches. In Stock.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: rst of all for computer science researchers, from any sub-area of the eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: rst of all for computer science researchers, from any sub-area of the eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact.…

Condition: New. pp. 428.

Taschenbuch. Condition: Neu. Mobility, Data Mining and Privacy | Geographic Knowledge Discovery | Fosca Giannotti (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Springer | EAN 9783642094439 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condition: Brand New. 424 pages. 9.06x5.91x1.26 inches. In Stock.

Hardcover. Condition: Brand New. 1st edition. 410 pages. 9.50x6.25x1.25 inches. In Stock.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 428 | Sprache: Englisch | Produktart: Bücher | The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con?ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti?c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact.…