Information and Knowledge Engineering

Hamid R. Arabnia (Redaktør) ; Leonidas Deligiannidis (Redaktør) ; Ray R. Hashemi (Redaktør) ; Joan Lu (Redaktør) ; George Jandieri (Redaktør) ; Ashu M. G. Solo (Redaktør) ; Fernando G. Tinetti (Redaktør)

Information and Knowledge Engineering is a compendium of articles and papers that were presented at IKE '13, an international conference that serves researchers, scholars, professionals, students, and academicians. Les mer
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Vår pris: 666,-

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Leveringstid: Sendes innen 21 dager

Om boka

Information and Knowledge Engineering is a compendium of articles and papers that were presented at IKE '13, an international conference that serves researchers, scholars, professionals, students, and academicians.

Selected topics include:


Knowledge Engineering and Management + Knowledge Acquisition
Databases, Information Retrieval and Search
Decision Support Systems
Mining of Data Rich Sources
Data and Information Mining + Forecasting Methods
Novel Methodologies and Applications
Information Retrieval, Learning Methods, and Social Networks
Data Mining, Opinion Management, Software Quality Issues, Bioinformatics, and Applications

Fakta

Innholdsfortegnelse

Session: Knowledge Engineering and Management + Knowledge Acquisition
1) Knowledge Management in a Large Organization: A Practical Case Study
2) Kukulcan: Semantic Web Framework for Knowledge Management in the Domain of Digital Circuits
3) Extracting Human-readable Knowledge Rules in Complex Time-evolving Environments
4) Visualisation of Combinatorial Program Space and Related Metrics
5) A Study on Information Connection Model using Rule-based Connection Platform
6) Management of Knowledge on the Basis of Stochastic Mathematical Models
Session: Databases, Information Retrieval and Search
1) A Method for Search Result Accuracy and Indexing Efficiency on Author Name Search
2) A Novel G-tree for Accelerating the Time-consuming Skyline Query
3) Relevance Feedback for Collaborative Retrieval Based on Semantic Annotations
4) A System for Keyword Search on Probability XML Data
Session: Decision Support Systems
1) A Fuzzy Multiple Objective Decision Making Methodology for Electricity Generation Planning
2) Relationship Between DSS Categories and Different Methodologies
Session: Mining of Data Rich Sources
1) Visualization Tools for Results of Entity Resolution
2) Evaluation of Entity Resolution Results through Benchmarking and Truth set Development
3) Mitigating Data Quality Impairment on Entity Resolution Errors in Student Enrollment Data
4) Probabilistic Scoring Methods to Assist Entity Resolution Systems Using Boolean Rules
5) Intelligent Mobile App for Identifying Skin Pigments
6) Tackling Financial and Economic Crime through Strategic Intelligence: The EMPRISES Framework
7) Discovery of Predictive Neighborly Rules from Neighborhood Systems
Session: Data and Information Mining + Forecasting Methods
1) An approach for Mining Complex Spatial Dataset
2) Wavelet Based Exchange Rate Forecasting with Improved Instance Based Learning
3) Mining Mixed-drove Co-occurrence Patterns For Large Spatio-temporal Data Sets: A Summary of Results
Session: Novel Methodologies and Applications
1) Face Recognition for the Visually Impaired
2) Face Recognition System Based On Doubly Truncated Multivariate Gaussian Mixture Model
3) Towards a Framework for Modelling and Reusing Medical Knowledge in South Africa
4) OEEM Taxonomy- A Novel Layered-Based Energy Efficiency Taxonomy for ICT Organizations
5) An Adaptive Navigation Support Based on a New Technology
6) Bayesian Structural Learning with Minimum Spanning Tree Algorithm
7) A Large Scale Desalination of Sea Water by Solar Energy using an Unconventional Seawater Collectors Scheme
Session: Posters
1) An Investigation of Data Privacy and Utility Preservation using KNN Classification as a Gauge
2) Building Energy Ontology for Energy Saving Based on Context-aware Reasoning
3) On-line Weighted Matrix Factorization for TV Program Recommendation
Session: Late Breaking Papers - Information Retrieval, Learning Methods, and Social Networks
1) Query Expansion using Association Matrix for Improved Information Retrieval Performance
2) A New Adaptive Sampling Method for Scalable Learning
3) Mining the Boundaries of Social Networks: Crawling Facebook and Twitter for BlogIntelligence
Session: Data Mining, Opinion Management, Software Quality Issues, Bioinformatics, and Applications
1) DELAY-CFIM: A Sliding Window Based Method on Mining Closed Frequent Itemsets over High-Speed Data Streams
2) Time Interval Sequential Sequence Mining in Large Database
3) A Method For VR Management In Public Opinion
4) Bioinformatics Knowledge Transmission (training, learning, and teaching): Overview and Flexible Comparison of Computer Based Training Approaches
5) A Micro-Level Analysis of Energy Consumption within ICT Organisations: A Holistic Perspective
6) The Interpretation of Maintainability Quality Attribute into Assessed Requirements
7) Using Graph Theoretic Approach to Digital Steganography
8) Named Entity Recognition of Indian Origin Names in English Documents

Om forfatteren

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.