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Action rules mining / / Agnieszka Dardzinska
Action rules mining / / Agnieszka Dardzinska
Autore Dardzinska Agnieszka
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2013
Descrizione fisica 1 online resource (X, 98 p.)
Disciplina 006.3/12
Collana Studies in computational intelligence
Soggetto topico Data mining
Association rule mining
ISBN 3-642-35650-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- ; 2. Information Systems -- ; 2.1. Types of Information Systems -- ; 2.2. Types of Incomplete Information Systems -- ; 2.3. Simple Query Language -- ; 2.3.1. Standard Interpretation of Queries in Complete Information Systems -- ; 2.3.2. Standard Interpretation of Queries in Incomplete Information Systems -- ; 2.4. Rules -- ; 2.5. Distributed Information Systems -- ; 2.6. Decision Systems -- ; 2.7. Partially Incomplete Information Systems -- ; 2.8. Extracting Classification Rules -- ; 2.8.1. Attribute Dependency and Coverings -- ; 2.8.2. System LERS -- ; 2.8.3. Algorithm for Finding the Set of All Coverings (LEM1) -- ; 2.8.4. Algorithm LEM2 -- ; 2.8.5. Algorithm for Extracting Rules from Incomplete -- ; Decision System (ERID) -- ; 2.9. Chase Algorithms -- ; 2.9.1. Tableaux Systems and Chase -- ; 2.9.2. Handling Incomplete Values Using CHASE1 Algorithm -- ; 2.9.3. Handling Incomplete Values Using CHASE2 Algorithm -- ; X Contents -- ; 3. ActionRules -- ; 3.1. Main Assumptions -- ; 3.2. Action Rules from Classification Rules -- ; 3.2.1. System DEAR -- ; 3.2.2. System DEAR2 -- ; 3.3. E-action Rules -- ; 3.3.1. ARAS Algorithm. -- ; 3.4. Action Rules Tightly Coupled Framework -- ; 3.5. Cost and Feasibility. -- ; 3.6. Association Action Rules -- ; 3.6.1. Frequent Action Sets -- ; 3.7. Representative Association Action Rules -- ; 3.8. Simple Association Action Rules -- ; 3.9. Action Reducts -- ; 3.9.1. Experiments and Testing -- ; 3.10. Meta-action -- ; 3.10.1. Discovering Action Paths.
Record Nr. UNINA-9910739418703321
Dardzinska Agnieszka  
Berlin ; ; New York, : Springer, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active mining : second international workshop, AM 2003, Maebashi, Japan, October 28, 2003 : revised selected papers / / Shusaku Tsumoto ... [et al.]
Active mining : second international workshop, AM 2003, Maebashi, Japan, October 28, 2003 : revised selected papers / / Shusaku Tsumoto ... [et al.]
Edizione [1st ed. 2005.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2005
Descrizione fisica 1 online resource (XII, 348 p.)
Disciplina 006.3/12
Altri autori (Persone) TsumotoShusaku <1963->
Collana Lecture notes in computer science,Lecture notes in artificial intelligence
Soggetto topico Data mining
ISBN 3-540-31933-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview -- Active Mining Project: Overview -- Tutorial Papers -- Computational and Statistical Methods in Bioinformatics -- Indexing and Mining Audiovisual Data -- Active Information Collection -- Relevance Feedback Document Retrieval Using Support Vector Machines -- Micro View and Macro View Approaches to Discovered Rule Filtering -- Mining Chemical Compound Structure Data Using Inductive Logic Programming -- First-Order Rule Mining by Using Graphs Created from Temporal Medical Data -- Active Data Mining -- Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction -- Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI -- Investigation of Rule Interestingness in Medical Data Mining -- Experimental Evaluation of Time-Series Decision Tree -- Spiral Multi-aspect Hepatitis Data Mining -- Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts -- CHASE 2 – Rule Based Chase Algorithm for Information Systems of Type ? -- Active User Reaction -- Empirical Comparison of Clustering Methods for Long Time-Series Databases -- Spiral Mining Using Attributes from 3D Molecular Structures -- Classification of Pharmacological Activity of Drugs Using Support Vector Machine -- Cooperative Scenario Mining from Blood Test Data of Hepatitis B and C -- Integrated Mining for Cancer Incidence Factors from Healthcare Data.
Altri titoli varianti AM 2003
Record Nr. UNINA-9910768442503321
Berlin ; ; New York, : Springer, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
Pubbl/distr/stampa Amsterdam ; ; Washington, DC, : IOS Press
Descrizione fisica x, 291 p. : ill
Disciplina 006.3/12
Altri autori (Persone) MotodaHiroshi
Collana Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems
Soggetto topico Data mining
Soggetto genere / forma Electronic books.
ISBN 600-00-0325-0
9786610505555
1-60129-400-X
1-280-50555-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910455592003321
Amsterdam ; ; Washington, DC, : IOS Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
Pubbl/distr/stampa Amsterdam ; ; Washington, DC, : IOS Press
Descrizione fisica x, 291 p. : ill
Disciplina 006.3/12
Altri autori (Persone) MotodaHiroshi
Collana Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems
Soggetto topico Data mining
ISBN 600-00-0325-0
9786610505555
1-60129-400-X
1-280-50555-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910780248303321
Amsterdam ; ; Washington, DC, : IOS Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active mining : new directions of data mining / / edited by Hiroshi Motoda
Active mining : new directions of data mining / / edited by Hiroshi Motoda
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Washington, DC, : IOS Press
Descrizione fisica x, 291 p. : ill
Disciplina 006.3/12
Altri autori (Persone) MotodaHiroshi
Collana Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems
Soggetto topico Data mining
ISBN 600-00-0325-0
9786610505555
1-60129-400-X
1-280-50555-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title page -- Preface -- Acknowledgments -- Contents -- I. Data Collection -- Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources -- Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environments -- Immune Network-based Clustering for WWW Information Gathering/Visualization -- Interactive Web Page Retrieval with Relational Learning-based Filtering Rules -- Monitoring Partial Update of Web Pages by Interactive Relational Learning -- Context-based Classification of Technical Terms Using Support Vector Machines -- Intelligent Tickers: An Information Integration Scheme for Active Information Gathering -- II. User Centered Mining -- Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionary -- Mining Frequent Substructures from Web -- Towards the Discovery of Web Communities from Input Keywords to a Search Engine -- Temporal Spatial Index Techniques for OLAP in Traffic Data Warehouse -- Knowledge Discovery from Structured Data by Beam-wise Graph-Based Induction -- PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Mining -- Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set -- Fast Boosting Based on Iterative Data Squashing -- Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithm -- Outlier Detection using Cluster Discriminant Analysis -- III. User Reaction and Interaction -- Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodology -- KeyGraph for Classifying Web Communities -- Case Generation Method for Constructing an RDR Knowledge Base -- Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environment.
Active Participation of Users with Visualizaiton Tools in the Knowledge Discovery Process -- The Future Direction of Active Mining in the Business World -- Topographical Expression of a Rule for Active Mining -- The Effect of Spatial Representation of Information on Decision Making in Purchase -- A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databases -- Meta Analysis for Data Mining -- Author Index -- A -- B -- C -- F -- H -- I -- K -- M -- N -- O -- S -- T -- U -- W -- Y.
Record Nr. UNINA-9910820617103321
Amsterdam ; ; Washington, DC, : IOS Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Mining and Applications [[electronic resource] ] : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings / / edited by Shuigeng Zhou, Songmao Zhang, George Karypis
Advanced Data Mining and Applications [[electronic resource] ] : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings / / edited by Shuigeng Zhou, Songmao Zhang, George Karypis
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XVIII, 795 p. 287 illus.)
Disciplina 006.3/12
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Information storage and retrieval
Database management
Algorithms
Data mining
Artificial Intelligence
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Database Management
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
ISBN 3-642-35527-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Social Media Mining -- Clustering -- Machine Learning: Algorithms and Applications -- Classification -- Prediction, Regression and Recognition -- Optimization and Approximation -- Mining Time Series and Streaming Data -- Web Mining and Semantic Analysis -- Data Mining Applications -- Search and Retrieval -- Information Recommendation and Hiding -- Outlier Detection -- Topic Modeling -- Data Cube Computing.
Record Nr. UNISA-996465937503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advanced topics in C : core concepts in data structures / / Noel Kalicharan
Advanced topics in C : core concepts in data structures / / Noel Kalicharan
Autore Kalicharan Noel
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Apress, , 2013
Descrizione fisica 1 online resource (xviii, 292 pages) : illustrations
Disciplina 0006.312
004
005.133
006.3/12
Collana The expert's voice in C Advanced topics in C
Soggetto topico C (Computer program language)
ISBN 1-4302-6401-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Advanced Topics in C""; ""Contents at a Glance""; ""Contents""; ""About the Author""; ""About the Technical Reviewer""; ""Preface""; ""Chapter 1: Sorting, Searching, and Merging""; ""1.1 Sorting an Array: Selection Sort""; ""1.1.1 Analysis of Selection Sort""; ""1.2 Sorting an Array: Insertion Sort""; ""1.2.1 Analysis of Insertion Sort""; ""1.3 Inserting an Element in Place""; ""1.4 Sorting an Array of Strings""; ""1.5 Sorting Parallel Arrays""; ""1.6 Binary Search""; ""1.7 Searching an Array of Strings""; ""1.8 Example: Word Frequency Count""; ""1.9 Merging Ordered Lists""
""1.9.1 Implementing the Merge""""Chapter 2: Structures""; ""2.1 Defining Structures""; ""2.2 How to Declare a Structure""; ""2.2.1 typedef""; ""2.3 Working with an Array of Structures""; ""2.4 Searching an Array of Structures""; ""2.5 Sorting an Array of Structures""; ""2.6 How to Read, Search, and Sort a Structure""; ""2.7 Nested Structures""; ""2.8 Working with Fractions""; ""2.8.1 Manipulating Fractions""; ""2.9 A Voting Problem""; ""2.10 Passing Structures to Functions""; ""Chapter 3: Pointers""; ""3.1 Defining Pointers""; ""3.2 Passing Pointers as Arguments""
""3.3 More on Passing an Array as an Argument""""3.4 Character Pointers""; ""3.5 Pointer Arithmetic""; ""3.6 Pointers to Structures""; ""3.7 Pointers to Functions""; ""3.8 Void Pointers""; ""Chapter 4: Linked Lists""; ""4.1 Defining Linked Lists""; ""4.2 Basic Operations on a Linked List""; ""4.2.1 Counting the Nodes in a Linked List""; ""4.2.2 Searching a Linked List""; ""4.2.3 Finding the Last Node in a Linked List""; ""4.3 Dynamic Storage Allocation: malloc, calloc, sizeof, free""; ""4.3.1 malloc""; ""4.3.2 calloc""; ""4.3.3 sizeof""; ""4.3.4 free""
""4.4 Building a Linked List: Adding New Item at the Tail""""4.5 Insertion into a Linked List""; ""4.6 Building a Linked List: Adding a New Item at the Head""; ""4.7 Deletion from a Linked List""; ""4.8 Building a Sorted Linked List""; ""4.9 Example: Palindrome""; ""4.10 Saving a Linked List""; ""4.11 Arrays vs. Linked Lists""; ""4.12 Storing a Linked List Using Arrays""; ""4.13 Merging Two Sorted Linked Lists""; ""4.14 Circular and Two-Way Linked Lists""; ""4.14.1 Circular Lists""; ""4.14.2 Two-Way (Doubly Linked) Lists""; ""Chapter 5: Stacks and Queues""; ""5.1 Abstract Data Types""
""5.2 Stacks""""5.2.1 Implementing a Stack Using an Array""; ""5.2.2 Implementing a Stack Using a Linked List""; ""5.3 Creating a Stack Header File""; ""5.4 A General Stack Type""; ""5.4.1 Example: Convert from Decimal to Binary""; ""5.5 Converting Infix to Postfix""; ""5.5.1 Evaluating a Postfix Expression""; ""5.6 Queues""; ""5.6.1 Implementing a Queue Using an Array""; ""5.6.2 Implementing a Queue Using a Linked List""; ""Chapter 6: Recursion""; ""6.1 Recursive Definition""; ""6.2 Writing Recursive Functions in C""; ""6.3 Converting a Decimal Number to Binary Using Recursion""
""6.4 Printing a Linked List in Reverse Order""
Record Nr. UNINA-9910735400503321
Kalicharan Noel  
New York : , : Apress, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in data mining : applications and theoretical aspects : 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010 : proceedings / / Petra Perner (ed.)
Advances in data mining : applications and theoretical aspects : 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010 : proceedings / / Petra Perner (ed.)
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Springer, 2010
Descrizione fisica 1 online resource (XIII, 654 p. 233 illus.)
Disciplina 006.3/12
Altri autori (Persone) PernerPetra
Collana LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence
Soggetto topico Data mining
ISBN 1-280-38795-5
9786613565877
3-642-14400-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- Moving Targets -- Bioinformatics Contributions to Data Mining -- Theoretical Aspects of Data Mining -- Bootstrap Feature Selection for Ensemble Classifiers -- Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths -- Finding Irregularly Shaped Clusters Based on Entropy -- Fuzzy Conceptual Clustering -- Mining Concept Similarities for Heterogeneous Ontologies -- Re-mining Positive and Negative Association Mining Results -- Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining -- Describing Data with the Support Vector Shell in Distributed Environments -- Robust Clustering Using Discriminant Analysis -- New Approach in Data Stream Association Rule Mining Based on Graph Structure -- Multimedia Data Mining -- Fast Training of Neural Networks for Image Compression -- Processing Handwritten Words by Intelligent Use of OCR Results -- Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding -- Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data -- Entropic Quadtrees and Mining Mars Craters -- Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification -- Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders -- Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images -- Data Mining in Marketing -- Quantile Regression Model for Impact Toughness Estimation -- Mining for Paths in Flow Graphs -- Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis -- Managing Product Life Cycle with MultiAgent Data Mining System -- Modeling Pricing Strategies Using Game Theory and Support Vector Machines -- Data Mining in Industrial Processes -- Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine -- Dynamic Pattern Extraction of Parameters in Laser Welding Process -- Trajectory Clustering for Vibration Detection in Aircraft Engines -- Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data -- Predicting Disk Failures with HMM- and HSMM-Based Approaches -- Aircraft Engine Health Monitoring Using Self-Organizing Maps -- Data Mining in Medicine -- Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy -- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions -- Medical Datasets Analysis: A Constructive Induction Approach -- Data Mining in Agriculture -- Regression Models for Spatial Data: An Example from Precision Agriculture -- Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database -- WebMining -- Spam Email Filtering Using Network-Level Properties -- Domain-Specific Identification of Topics and Trends in the Blogosphere -- Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways -- Interest-Determining Web Browser -- Web-Site Boundary Detection -- Data Mining in Finance -- An Application of Element Oriented Analysis Based Credit Scoring -- A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs -- Aspects of Data Mining -- Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool -- The Orange Customer Analysis Platform -- Semi-supervised Learning for False Alarm Reduction -- Learning from Humanoid Cartoon Designs -- Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference -- Data Mining for Network Performance Monitoring -- Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool -- Selection of Effective Network Parameters in Attacks for Intrusion Detection.
Record Nr. UNINA-9910485024803321
New York, : Springer, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Data Mining: Applications and Theoretical Aspects [[electronic resource] ] : 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings / / edited by Petra Perner
Advances in Data Mining: Applications and Theoretical Aspects [[electronic resource] ] : 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings / / edited by Petra Perner
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XIII, 654 p. 233 illus.)
Disciplina 006.3/12
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Multimedia information systems
Computer engineering
Optical data processing
Application software
Database management
Data Mining and Knowledge Discovery
Multimedia Information Systems
Computer Engineering
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
Database Management
ISBN 1-280-38795-5
9786613565877
3-642-14400-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talk -- Moving Targets -- Bioinformatics Contributions to Data Mining -- Theoretical Aspects of Data Mining -- Bootstrap Feature Selection for Ensemble Classifiers -- Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths -- Finding Irregularly Shaped Clusters Based on Entropy -- Fuzzy Conceptual Clustering -- Mining Concept Similarities for Heterogeneous Ontologies -- Re-mining Positive and Negative Association Mining Results -- Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining -- Describing Data with the Support Vector Shell in Distributed Environments -- Robust Clustering Using Discriminant Analysis -- New Approach in Data Stream Association Rule Mining Based on Graph Structure -- Multimedia Data Mining -- Fast Training of Neural Networks for Image Compression -- Processing Handwritten Words by Intelligent Use of OCR Results -- Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding -- Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data -- Entropic Quadtrees and Mining Mars Craters -- Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification -- Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders -- Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images -- Data Mining in Marketing -- Quantile Regression Model for Impact Toughness Estimation -- Mining for Paths in Flow Graphs -- Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis -- Managing Product Life Cycle with MultiAgent Data Mining System -- Modeling Pricing Strategies Using Game Theory and Support Vector Machines -- Data Mining in Industrial Processes -- Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine -- Dynamic Pattern Extraction of Parameters in Laser Welding Process -- Trajectory Clustering for Vibration Detection in Aircraft Engines -- Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data -- Predicting Disk Failures with HMM- and HSMM-Based Approaches -- Aircraft Engine Health Monitoring Using Self-Organizing Maps -- Data Mining in Medicine -- Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy -- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions -- Medical Datasets Analysis: A Constructive Induction Approach -- Data Mining in Agriculture -- Regression Models for Spatial Data: An Example from Precision Agriculture -- Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database -- WebMining -- Spam Email Filtering Using Network-Level Properties -- Domain-Specific Identification of Topics and Trends in the Blogosphere -- Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways -- Interest-Determining Web Browser -- Web-Site Boundary Detection -- Data Mining in Finance -- An Application of Element Oriented Analysis Based Credit Scoring -- A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs -- Aspects of Data Mining -- Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool -- The Orange Customer Analysis Platform -- Semi-supervised Learning for False Alarm Reduction -- Learning from Humanoid Cartoon Designs -- Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference -- Data Mining for Network Performance Monitoring -- Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool -- Selection of Effective Network Parameters in Attacks for Intrusion Detection.
Record Nr. UNISA-996465640303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXII, 610 p. 199 illus.)
Disciplina 006.3/12
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Information Storage and Retrieval
ISBN 3-642-37453-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discovering Local Subgroups, with an Application to Fraud Detection -- PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data -- Frequent Pattern Mining in Attributed Trees -- Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs -- ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences -- Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data -- Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis -- F-Trail: Finding Patterns in Taxi Trajectories -- Mining Appliance Usage Patterns in Smart Home Environment -- Computational Models of Stress in Reading Using Physiological and Physical Sensor Data -- Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine -- MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation -- Fast and Effective Single Pass Bayesian Learning -- Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data -- Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph -- Spectral Decomposition for Optimal Graph Index Prediction -- Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model -- Node Classification in Social Network via a Factor Graph Model -- Fast Graph Stream Classification Using Discriminative Clique Hashing -- Mining Interesting Itemsets in Graph Datasets -- Robust Synchronization-Based Graph Clustering -- Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors -- Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection -- EEG-Based Person Verification Using Multi-Sphere SVDD and UBM -- Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula -- Mining Representative Movement Patterns through Compression -- NARGES: Prediction Model for Informed Routing in a Communications Network -- Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction -- Leveraging Hybrid Citation Context for Impact Summarization -- Optimal Allocation of High Dimensional Assets through Canonical Vines -- Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition -- An Optimization Method for Proportionally Diversifying Search Results -- Joint Naıve Bayes and LDA for Unsupervised Sentiment Analysis -- An Unsupervised Learning Model to Perform Side Channel Attack -- Decisive Supervised Learning -- Learning Overlap Optimization for Domain Decomposition Methods -- CLUEKR : CLUstering Based Efficient kNN Regression -- AREM: A Novel Associative Regression Model Based on EM Algorithm -- One-Class Transfer Learning with Uncertain Data -- Time Series Forecasting Using Distribution Enhanced Linear Regression -- Twin Bridge Transfer Learning for Sparse Collaborative Filtering -- Dimensionality Reduction with Dimension Selection -- Multi-View Visual Classification via a Mixed-Norm Regularizer -- Mining Specific Features for Acquiring User Information Needs -- Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning -- Exploring Groups from Heterogeneous Data via Sparse Learning -- Multiplex Topic Models -- Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network -- Learning from Multiple Observers with Unknown Expertise.
Record Nr. UNISA-996466179803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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