175 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
**u Tao
Chapter
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Chapter
Wavelet Methods in Data Mining
Recently there has been significant development in the use of wavelet methods in various Data Mining processes. This article presents general overview of their applications in Data Mining. It first presents a ...
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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
Accelerating Computation of DNA Sequence Alignment in Distributed Environment
Sequence similarity and alignment are most important operations in computational biology. However, analyzing large sets of DNA sequence seems to be impractical on a regular PC. Using multiple threads with Java...
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Chapter and Conference Paper
Numerical Simulation and Experimental Study of Liquid-Solid Two-Phase Flow in Nozzle of DIA Jet
The velocity of abrasive particles at the nozzle exit of Direct Injection Abrasive (DIA) Jet is a key factor affecting cutting capacity of jet. The powerful Computational Fluid Dynamics (CFD) analysis software...
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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
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
K-Subspace Clustering
The widely used K-means clustering deals with ball-shaped (spherical Gaussian) clusters. In this paper, we extend the K-means clustering to accommodate extended clusters in subspaces, such as line-shaped clust...
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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...
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Chapter and Conference Paper
Adding Integrity Constraints to the Semantic Web for Instance Data Evaluation
This paper presents our work on supporting evaluation of integrity constraint issues in semantic web instance data. We propose an alternative semantics for the ontology language, i.e., OWL, a decision procedur...
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Chapter and Conference Paper
Dynamic Video Collage
This demo presents a video visualization technique named Dynamic Video Collage (DVC). By selecting representative frames, extracting their regions of interest, constructing collages with the gradually coming f...
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Chapter and Conference Paper
Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis
This paper proposes a new gene selection (or feature selection) method for DNA microarray data analysis. In the method, the t-statistic and support vector machines are combined efficiently. The resulting gene sel...
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Chapter and Conference Paper
Video Reference: A Video Question Answering Engine
Community-based question answering systems have become very popular for providing answers to a wide variety of ”how-to” questions. However, most such systems present only textual answers. In many cases, users ...
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Chapter and Conference Paper
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K ≥ 1
In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing the online speed while retaining the same level of accuracy for a K-nearest neighbor ...
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Chapter and Conference Paper
Cost Sensitive Classification in Data Mining
Cost-sensitive classification is one of mainstream research topics in data mining and machine learning that induces models from data with unbalance class distributions and impacts by quantifying and tackling t...
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Chapter and Conference Paper
Sensing Geographical Impact Factor of Multimedia News Events for Localized Retrieval and News Filtering
News materials are reports on events occurring in a given time and location. Looking at the influence of individual event, an event that has news reported worldwide is strategically more important than one tha...
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Chapter and Conference Paper
The Accuracy Enhancements of Virtual Antenna for Location Based Services
Measurement report (MR) base methods are a kind of cell identifier (CI) base methods whose parameters could be extracted from MRs and the cell configuration database (CCD). They are utilized for location based...
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Chapter and Conference Paper
Learning Cooking Techniques from YouTube
Cooking is a human activity with sophisticated process. Underlying the multitude of culinary recipes, there exist a set of fundamental and general cooking techniques, such as cutting, braising, slicing, and sa...
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Chapter and Conference Paper
Application of Decision-Tree Based on Prediction Model for Project Management
In recent years, with rapid development of China’s space program and aerospace technology, massive data of project management have been collected. However, provided massive data, there is plenty room to improv...
