199 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Database Management
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
N-Step PageRank for Web Search
PageRank has been widely used to measure the importance of web pages based on their interconnections in the web graph. Mathematically speaking, PageRank can be explained using a Markov random walk model, in wh...
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Chapter and Conference Paper
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization
In many applications, we need to cluster large-scale data objects. However, some recently proposed clustering algorithms such as spectral clustering can hardly handle large-scale applications due to the comple...
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Chapter and Conference Paper
Design and Realization of Advertisement Promotion Based on the Content of Webpage
Online advertisement based on the content becomes the new model as the development of web advertising, and choosing a suitable advertisement which is related to the content of a webpage turns to be the core pr...
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Chapter and Conference Paper
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating classification rules. Second,...
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Chapter and Conference Paper
Ontology Mining for Semantic Interpretation of Information Needs
Ontology is an important technique for semantic interpretation. However, the most existing ontologies are simple computational models based on only “super-” and “sub-class” relationships. In this paper, a comp...
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Chapter and Conference Paper
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schemes highly depends on space gra...
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Chapter and Conference Paper
Dual Dimensionality Reduction for Efficient Video Similarity Search
With ever more advanced development in video devices and their extensive usages, searching videos of user interests from large scale repositories, such as web video databases, is gaining its importance. Howeve...
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Chapter and Conference Paper
An Ontology-Based Framework for Building Adaptable Knowledge Management Systems
A framework of an adaptive knowledge management system is put forward. While the invariable infrastructure of the framework is coded in the system, the other user-specific features are supposed to be customize...
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Chapter and Conference Paper
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
Data mining techniques for understanding the behavioral and demographic patterns of tourists have received increasing research interests due to the significant economic contributions of the fast growing touris...
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Chapter and Conference Paper
Continuous Constraint Query Evaluation for Spatiotemporal Streams
In this paper we study the evaluation of continuous constraint queries (CCQs) for spatiotemporal streams. A CCQ triggers an alert whenever a configuration of constraints between streaming events in space and time...
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Chapter and Conference Paper
Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA
We present a fast and robust algorithm for image segmentation problems via Fuzzy C-Means (FCM) clustering model. Our approach is based on DC (Difference of Convex functions) programming and DCA (DC Algorithms)...
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Chapter and Conference Paper
A Class of Novel Kernel Functions
This paper proposes a kind of novel kernel functions obtained from the reproducing kernels of Hilbert spaces associated with special inner product. SVM with the proposed kernel functions only need less support...
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Chapter and Conference Paper
Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets
Automatic Taxonomy Generation organizes a large dataset into a hierarchical structure so as to facilitate people’s navigation and browsing actions. To better summarize the content of each node as well as to re...
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Chapter and Conference Paper
An Efficient Similarity Searching Algorithm Based on Clustering for Time Series
Indexing large time series databases is crucial for efficient searching of time series queries. In the paper, we propose a novel indexing scheme RQI (Range Query based on Index) which includes three filtering met...
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Chapter
Personalized Privacy Preservation
Unlike conventional methods that exert the same amount of privacy control over all the tuples in the microdata, personalized privacy preservation applies various degrees of protection to different tuples, subject...
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Chapter and Conference Paper
Achieving Effective Multi-term Queries for Fast DHT Information Retrieval
Distributed Hash Tables (DHTs) are well-suited for exact match look- ups using unique identifiers, but do not directly support multi-term queries. Related research of query expansion has shown that adding new ...
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Chapter and Conference Paper
Dimension-Specific Search for Multimedia Retrieval
Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause possible performance limitation, we propose the first Dimension-speci...
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Chapter and Conference Paper
Video Annotation System Based on Categorizing and Keyword Labelling
In this work, we demonstrate an automatic video annotation system which can provide users with the representative keywords for new videos. The system explores the hierarchical concept model and multiple featur...
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Chapter and Conference Paper
Enhancing Business Process Automation by Integrating RFID Data and Events
Business process automation is one of the major benefits for utilising Radio Frequency Identification (RFID) technology. Through readers to RFID middleware systems, the information and the movements of tagged ...
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Chapter and Conference Paper
Concept-Based, Personalized Web Information Gathering: A Survey
Web information gathering surfers from the problems of information mismatching and overloading. In an attempt to solve these fundamental problems, many works have proposed to use concept-based techniques to pe...
