Knowledge Science, Engineering and Management

SOMMARIO

Mining Video Data: Learning about Activities.- Ontology Languages and Engineering.- Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects.- Modeling Ontological Concepts of Locations with a Heterogeneous Cardinal Direction Model.- Finding Minimal Rare Itemsets and Rare Association Rules.- Background Knowledge Integration in Clustering Using Purity Indexes.- A Comparison of Merging Operators in Possibilistic Logic.- Modelling and Reasoning in Metamodelling Enabled Ontologies.- Towards Encoding Background Knowledge with Temporal Extent into Neural Networks.- A Fuzzy Description Logic with Automatic Object Membership Measurement.- Decomposition-Based Optimization for Debugging of Inconsistent OWL DL Ontologies.- A Concept Hierarchy Based Ontology Mapping Approach.- Composing Cardinal Direction Relations Basing on Interval Algebra.- Retrieval Result Presentation and Evaluation.- Autonomy: Life and Being.- A Method of Social Collaboration and Knowledge Sharing Acceleration for e-Learning System: The Distance Learning Network Scenario.- A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data.- Optimization of Multiple Related Negotiation through Multi-Negotiation Network.- Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure.- Knowledge Modelling to Support Inquiry Learning Tasks.- Building the Knowledge Base to Support the Automatic Animation Generation of Chinese Traditional Architecture.- Discovery of Relation Axioms from the Web.- An Improved Piecewise Aggregate Approximation Based on Statistical Features for Time Series Mining.- Incorporating Duration Information in Activity Recognition.- A Graphical Model for Risk Analysis and Management.- Towards Awareness Services Usage Characterization: Clustering Sessions in a Knowledge Building Environment.- Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation.- Probabilistic Declarative Process Mining.- Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models.- A Novel Initialization Method for Semi-supervised Clustering.- Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy.- Anticipation as a Strategy: A Design Paradigm for Robotics.- Modular Logic Programming for Web Data, Inheritance and Agents.- Automatic Collecting Technique of Low Frequency Electromagnetic Signals and Its Application in Earthquake Study.- Improving Search in Tag-Based Systems with Automatically Extracted Keywords.- Towards a Framework for Trusting the Automated Learning of Social Ontologies.- PlayPhysics: An Emotional Games Learning Environment for Teaching Physics.- A SOM-Based Technique for a User-Centric Content Extraction and Classification of Web 2.0 with a Special Consideration of Security Aspects.- Modularizing Spatial Ontologies for Assisted Living Systems.- Towards Scalable Instance Retrieval over Ontologies.- MindDigger: Feature Identification and Opinion Association for Chinese Movie Reviews.- The Impact of Latency on Online Classification Learning with Concept Drift.- Efficient Reasoning with RCC-3D.- Automated Ontology Generation Using Spatial Reasoning.- Facilitating Experience Reuse: Towards a Task-Based Approach.- Behavioural Rule Discovery from Swarm Systems.- Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management.- Combining Logic and Probabilities for Discovering Mappings between Taxonomies.- An Ontology-Based Semantic Web Service Space Organization and Management Model.- Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition.- Knowledge Merging under Multiple Attributes.- Feature Selection Based on Mutual Information and Its Application in Hyperspectral Image Classification.- Static, Dynamic and Semantic Dimensions: Towards a Multidisciplinary Approach of Social Networks Analysis.- Knowledge Based Systems and Metacognition in Radar.- Maximus-AI: Using Elman Neural Networks for Implementing a SLMR Trading Strategy.- A Formalism for Causal Explanations with an Answer Set Programming Translation.- Earthquake Prediction Based on Levenberg-Marquardt Algorithm Constrained Back-Propagation Neural Network Using DEMETER Data.- Affinity Propagation on Identifying Communities in Social and Biological Networks.- Semantic Decomposition of Indicators and Corresponding Measurement Units.- Engineering Knowledge for Assistive Living.- Large-Scale, Exhaustive Lattice-Based Structural Auditing of SNOMED CT.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783642152795
• Collana: Lecture Notes in Computer Science
• Dimensioni: 0 x 0 mm Ø 942 gr
• Formato: Brossura
• Illustration Notes: XIII, 618 p. 156 illus.
• Pagine Arabe: 618
• Pagine Romane: xiii