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 | ||
|
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 | ||
|
Active mining [[electronic resource] ] : 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 | ||
|
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 |
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 | ||
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Advances in Chance Discovery : Extended Selection from International Workshops / / Yukio Ohsawa and Akinori Abe (eds.) |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XIV, 250 p.) |
Disciplina | 006.3/12 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Data mining
Decision making - Data processing |
Soggetto genere / forma | Conference papers and proceedings. |
ISBN | 3-642-30114-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cognition and Communication toward Chance Discovery -- Curation and Communication in Chance Discovery -- Turning Down a Chance: An Argument From Simplicity -- A Chance Favors a Prepared Mind: Chance Discovery from Cognitive Psychology -- Data Visualization as Chance Curation -- Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks -- Map Interface for a Text Data Set by Recursive Clustering -- Multimodal Discussion Analysis based on Temporal Sequence -- Framework of early adopters roaming among tribes for discovering innovative creation -- Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System -- Computational and Logical Cutting Edges for Analysis and Synthesis of Data -- Paired Evaluators Method to Track Concept Drift: An Application in Finance -- Efficient Service Discovery Among Heterogeneous Agents Using a Novel Agent Ranking Algorithm -- Discovering Chances for Health Problems and Falls in the Elderly using Data Mining Approach -- Temporal Logics Modeling Logical Uncertainty, Local and Global Chance Discovery -- Discovering Probabilistic Models of Pilot Behavior from Aircraft Telemetry Data -- Constructing Feature Set by using Temporal Clustering of Term Usages in Document Categorization -- Finding Rare Patterns with Weak Correlation Constraint: Progress in Indicative and Chance Patterns. |
Record Nr. | UNINA-9910437914303321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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. | UNINA-9910485024803321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / / 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, 588 p. 157 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 | 3-642-37456-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation -- Product and User Dependent Social Network Models for Recommender Systems -- Learning Representative Nodes in Social Networks -- Tracing Influential Nodes in a Social Network with Competing Information -- ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks -- Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks -- Modeling Social Information Learning among Taxi Drivers -- Mining User Interests from Information Sharing Behaviors in Social Media -- Anonymization for Multiple Released Social Network Graphs -- A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances -- Clustering Patient Medical Records via Sparse Subspace Representation -- A Unified Metric for Categorical and Numerical Attributes in Data Clustering -- An Extension of the Infinite Relational Model Incorporating Interaction between Objects -- Density-Based Clustering Based on Hierarchical Density Estimates -- Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion -- The Role of Hubs in Cross-Lingual Supervised Document Retrieval -- Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters -- Query-Document Relevance Topic Models -- A Two-Stage Approach for Generating Topic Models -- Effective Top-Down Active Learning for Hierarchical Text Classification -- Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression -- Crest: Cluster-based Representation Enrichment for Short Text Classification -- Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions -- An Optimized Cost-Sensitive SVM for Imbalanced Data Learning -- A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification -- Class Based Weighted K-Nearest Neighbor over Imbalance Dataset -- ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning -- Differential Privacy Preserving Spectral Graph Analysis -- Sorted Nearest Neighborhood Clustering for Efficient Private Blocking -- On Linear Refinement of Differential Privacy-Preserving Query Answering -- A Coupled Clustering Approach for Items Recommendation -- Location Recommendation Based on Periodicity of Human Activities and Location Categories -- Top-N Recommendations by Learning User Preference Dynamics -- Semantic Title Evaluation and Recommendation Based on Topic Models -- Video Quality Prediction over Wireless 4G -- A Self-immunizing Manifold Ranking for Image Retrieval -- Low-Rank Matrix Recovery with Discriminant Regularization -- Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval -- One Pass Concept Change Detection for Data Streams -- Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams -- A Concept-Drifting Detection Algorithm for Categorical Evolving Data -- Framework for Storing and Processing Relational Entities in Stream Mining -- Discovering Semantics from Multiple Correlated Time Series Stream -- Matrix Factorization With Aggregated Observations -- An Approach to Identifying False Traces in Process Event Logs -- Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes -- Adaptive Temporal Entity Resolution on Dynamic Databases -- Fuzzy Multi-Sphere Support Vector Data Description. |
Record Nr. | UNISA-996466191203316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|