Advanced Data Mining and Applications
5th International Conference, ADMA 2009, Bei**g, China, August 17-19, 2009. Proceedings
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212 Result(s)
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**li Meng
Computer Science
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
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Article
Searching the Web with Queries
In this paper we study the problem of searching the Web with online learning algorithms. We consider that Web documents can be represented by vectors of n boolean attributes. A search engine is viewed as a lea...
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Article
WebSail: From On-line Learning to Web Search
In this paper we report our research on building WebSail, an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user's relevance feedback, so that it is abl...
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Article
Concept Hierarchy-Based Text Database Categorization
Document categorization as a technique to improve the retrieval of useful documents has been extensively investigated. One important issue in a large-scale metasearch engine is to select text databases that ar...
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Chapter and Conference Paper
An Information Retrieval Method Based on Knowledge Reasoning
As the competition of Web Search market increases, there is a high demand for accurately judging the relations between the web pages and the user’s requirement. In this paper, we propose an information retriev...
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Chapter and Conference Paper
Collaterally Cued Labelling Framework Underpinning Semantic-Level Visual Content Descriptor
In this paper, we introduce a novel high-level visual content descriptor devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt for bridging the so call...
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Chapter and Conference Paper
A Knowledge-Based Approach for Answering Fuzzy Queries over Relational Databases
Users often have vague or imprecise ideas when searching the database. Thus, they might like to issue fuzzy queries for possibly retrieving. Based on fuzzy sets theory and the knowledge base related to the app...
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Chapter and Conference Paper
KAIFIA: Knowledge Assisted Intelligent Framework for Information Access
Accessing information, which is spread across multiple sources, in a structured and connected way, is a general problem for enterprises. A unified structure for knowledge representation is urgently needed to e...
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Chapter and Conference Paper
A Collaborative Forensics Framework for VoIP Services in Multi-network Environments
We propose a collaborative forensics framework to trace back callers of VoIP services in a multi-network environment. The paper is divided into two parts. The first part discusses the critical components of SI...
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Chapter and Conference Paper
Providing Flexible Queries over Web Databases
This paper presents a novel approach of the flexible query and ranking (FQR) by relaxing the original query in order to provide approximate answers to the user. FQR extends the categorical query criteria with ...
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Chapter and Conference Paper
A Formal Semantics-Preserving Translation from Fuzzy Relational Database Schema to Fuzzy OWL DL Ontology
How to construct Web ontologies has become a key technology to enable the Semantic Web, especially how to construct ontologies by extracting domain knowledge from database models such as the relational databas...
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Book and Conference Proceedings
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Chapter and Conference Paper
Selectivity Estimation for Exclusive Query Translation in Deep Web Data Integration
In Deep Web data integration, some Web database interfaces express exclusive predicates of the form Q e = P i ...
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Chapter and Conference Paper
Alleviating Cold-Start Problem by Using Implicit Feedback
Collaborative Filter (CF) methods supply favorably personalized predictions relying on adequate data from users. But the ratings, of new users or about new items are not always available and CF can’t make a pr...
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Chapter and Conference Paper
A Heuristic Algorithm Based on Iteration for Semantic Telecommunications Service Discovery
How to discover the suited telecommunications service more quickly is important for improving the user experience. In the field of semantic web service most of discovery algorithms pay attention to the precisi...
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Chapter and Conference Paper
Kernel-Based Transductive Learning with Nearest Neighbors
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this paper, we aim to solve the classi...
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Chapter and Conference Paper
MCN: A New Semantics Towards Effective XML Keyword Search
We investigate the expressiveness of existing XML keyword search semantics and propose Meaningful Connected Network (MCN) as a new semantics to capture meaningful relationships of the given keywords from XML docu...
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Chapter and Conference Paper
A Bipartite Graph Framework for Summarizing High-Dimensional Binary, Categorical and Numeric Data
Data summarization is an important data mining task which aims to find a compact description of a dataset. Emerging applications place special requirements to the data summarization techniques including the ab...
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Chapter and Conference Paper
Social Image Search with Diverse Relevance Ranking
Recent years have witnessed the success of many online social media websites, which allow users to create and share media information as well as describe the media content with tags. However, the existing rank...
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Chapter and Conference Paper
Spatial Neighborhood Clustering Based on Data Field
Based on the theory of data field, each sample point in the spatial database radiates its data energy from the sample space to the mother space. This paper studies the use of the data field as a basis for clus...
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Chapter and Conference Paper
Identifying and Ranking Possible Semantic and Common Usage Categories of Search Engine Queries
In this paper, we propose a method for identifying and ranking possible categories of any user query based on the meanings and common usages of the terms and phrases within the query. Our solution utilizes Wor...
