Advanced Data Mining and Applications
5th International Conference, ADMA 2009, Bei**g, China, August 17-19, 2009. Proceedings
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53 Result(s)
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Computer Science
Data Mining and Knowledge Discovery
Information Systems and Communication Service
**li Meng
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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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Book and Conference Proceedings
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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
A Novel Evaluation Model for the Vehicle Navigation Device Market Using Hybrid MCDM Techniques
The develo** strategy of ND is also presented to initiate the product roadmap. Criteria for evaluation are constructed via reviewing papers, interviewing experts and brain-storming. The ISM (interpretive str...
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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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Book
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Chapter
Trajectory Prediction of Moving Objects
The trajectory prediction is an important part for the management of moving objects. For example, it can be used to improve the performance of the location update strategy and to support the predictive index a...
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Chapter
Dynamic Transportation Navigation
Miniaturization of computing devices, and advances in wireless communication and sensor technology are some of the forces that are propagating computing from the stationary desktop to the mobile outdoors. Some...
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Chapter
Moving Objects Modeling
Location modeling is the foundation for moving objects databases. Existing database management systems are not well equipped to handle continuously changing data, such as the position of moving objects. The re...
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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...
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Chapter
Uncertainty of Moving Objects
One of the key research issues with moving objects databases is the uncertainty management. The uncertainty management for moving objects has been well studied recently, with many models and algorithms propose...
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Chapter
Dynamic Transportation Networks
In this chapter, another application, a new moving objects database system, moving objects on dynamic transportation networks (MODTN), is proposed. In the MODTN system, moving objects are modeled as moving gra...
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Chapter
Introduction
Advances in computer and telecommunication technologies have made mobile computing a reality. In a mobile computing environment, users can access information through wireless connections regardless of their ph...
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Chapter
Moving Objects Updating
In moving objects applications, large numbers of locations can be sampled by sensors or GPS periodically, then sent from moving clients to the server and stored in a database. Therefore, continuously maintaini...
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Chapter
Moving Objects Basic Querying
Once we build the model and index for moving objects, we can answer the queries for moving objects. There are many types of queries in moving objects databases such as the nearest neighbor (NN) query, range qu...
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Chapter
Clustering Analysis of Moving Objects
In many moving objects management applications, realtime data analysis such as clustering analysis is becoming one of the most important requirements. Most spatial clustering algorithms deal with objects in Eu...
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Chapter
Moving Objects Indexing
For querying large amounts of moving objects, a key problem is to create efficient indexing structures that make it possible to effectively answer various types of queries. Traditional spatial indexing approac...
