70 Result(s)
within
Computer Science
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
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
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
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
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
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...
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Chapter and Conference Paper
Novel Algorithm for Fast Accessing On-Board Star Catalog
Fast accessing On-board star catalog is a key research technique in star tracker, which is a high accuracy navigation device on satellite. A novel method to fast retrieve the star data from the On-board star c...
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Chapter and Conference Paper
Study of Tunnel Morphin the Similarity Analysis of Time Series Bio-signal Data
One similarity measurement strategy for bio-signal waveform is presented in this paper. A tunnel morph is introduced to describe the waveform. It measures the waveform not only by a value, but considers the cu...
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Chapter and Conference Paper
Design of Shipborne Underwater Inertial Stabilized Pan-Tilt System Based on Fuzzy PID Controller
When scanning boat worked in the river, the wave would cause boat’s attitude change which leaded dual-frequency identification sonar instability, so we design a self-adaptive and 3D mechanical pan-tilt system....
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Chapter and Conference Paper
Empirical Discriminative Tensor Analysis for Crime Forecasting
Police agencies have been collecting an increasing amount of information to better understand patterns in criminal activity. Recently there is a new trend in using the data collected to predict where and when ...
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Chapter and Conference Paper
Reliability-Based Route Optimization of a Transportation Network with Random Arc Capacities and Time Threshold
The classical route optimization problem of a network focuses on the shortest or fastest route mainly under the assumption that all roads will not fail. In fact, the capacities of roads in a transportation net...
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Chapter and Conference Paper
Exemplars-Constraints for Semi-supervised Clustering
Semi-supervised clustering aims at incorporating the known prior knowledge into the clustering process to achieve better performance. Recently, semi-supervised clustering with pairwise constraints has emerged ...
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Chapter and Conference Paper
Path-Based Constrained Nearest Neighbor Search in a Road Network
Nearest Neighbor (NN) queries are frequently used for location-dependent information services. In this paper, we study a new NN query called Path-based Constrained Nearest Neighbor (PCNN) query, which involves...
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Chapter and Conference Paper
Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions
Traditional Chinese medicine (TCM) is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in TCM is to use herb prescriptions. Typically, a number of her...
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Chapter and Conference Paper
Cross-Modal Information Retrieval – A Case Study on Chinese Wikipedia
Probability models have been used in cross-modal multimedia information retrieval recently by building conjunctive models bridging the text and image components. Previous studies have shown that cross-modal in...
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Chapter and Conference Paper
Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving
Location privacy preserving is attracting more and more attentions with the wide use of accurate positioning devices. Two kinds of methods based on k-anonymity have been proposed for location privacy preserving. ...
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Chapter and Conference Paper
Personalized Diversity Search Based on User’s Social Relationships
Keyword-based web search is nowadays the most popular and convenient means for people to access information, whereas traditional search methods usually disappoint people with inaccurate, insufficient or redund...
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Chapter and Conference Paper
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework
By amassing ‘wisdom of the crowd’, social tagging systems draw more and more academic attention in interpreting Internet folk knowledge. In order to uncover their hidden semantics, several researches have atte...
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Chapter and Conference Paper
Product Feature Summarization by Incorporating Domain Information
Feature summarization is an important problem in opinion mining of product review. Current methods mostly cluster feature expressions with unsupervised learning methods based on lexical similarity or context i...
