Knowledge Science, Engineering and Management - Bookswagon
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Databases > Data mining > Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)
Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)

Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)


     0     
5
4
3
2
1



International Edition


X
About the Book

The proceedings contains the papers selected for the 4th International Conf- ence on Knowledge Science, Engineering and Management (KSEM). The c- lection of papers represent the wide range of research activities that have been carriedout,coveringknowledgerepresentationandreasoning,knowledgeextr- tion, knowledge integration, data mining and knowledge discovery, etc. Ad- tionally, two special sessions:"Theoryand Practiceof Ontologyfor the Semantic Web" and "Application of Data Mining to Seismic Data Analysis for Earthquake Study" have been included along with the main conference program. All of the papers havebeen peer reviewedby the members of the ProgramCommittee and external reviewers; 45 regular papers and 12 short papers were selected. They represent the state of the art of research in KSEM-related research areas. The International Conference on Knowledge Science, Engineering and M- agement in 2010 was the fourth event in the series of successful conferences, previously held in Guilin, China, Melbourne, Australia, and Vienna, Austria. It speci?cally focused on becoming a premier forum for prototype and deployed knowledge engineering and knowledge-based systems. KSEM o?ers an exc- tional opportunity for presenting original work, the latest scienti? c and te- nological advances on knowledge-related systems, and discussing and debating practical challenges and opportunities for the research community. A great many people contributed to making KSEM2010 a successful conf- ence. First of all, we would like to thank the KSEM2010 Organizing Committee and the School of Computing and Mathematics and the University of Ulster for providing crucial support throughout the organization of the conference.

Table of Contents:
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.


Best Sellers


Product Details
  • ISBN-13: 9783642152795
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Language: English
  • Returnable: Y
  • Series Title: 6291 Lecture Notes in Computer Science
  • ISBN-10: 3642152791
  • Publisher Date: 19 Aug 2010
  • Binding: Paperback
  • No of Pages: 618
  • Series Title: 6291 Lecture Notes in Computer Science
  • Sub Title: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG -
Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceedings(6291 Lecture Notes in Computer Science)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!