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Chapter and Conference Paper
Corpus-Based Correlational Study of Terms and Quality in Business English Writing
One of the most important tasks in automated essay scoring (AES) is feature selection. Terms are indispensable in Business English (BE) writing. In order to analyze the possibility of involving terms in BE wri...
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Chapter and Conference Paper
Parallel Triangle Counting over Large Graphs
Counting the number of triangles in a graph is significant for complex network analysis. However, with the rapid growth of graph size, the classical centralized algorithms can not process triangle counting eff...
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Chapter and Conference Paper
Shortest Path Computation over Disk-Resident Large Graphs Based on Extended Bulk Synchronous Parallel Methods
The Single Source Shortest Path (SSSP) computation over large graphs has raised significant challenges to the memory capacity and processing efficiency. Utilizing disk-based parallel iterative computing is an ...
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Chapter and Conference Paper
Computing the Split Points for Learning Decision Tree in MapReduce
The explosive growth of Data is bringing more and more challenges and opportunities to data mining. In data mining, learning decision tree is a common method, in which determining split points is the key probl...
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Chapter and Conference Paper
Real-Time Markerless Hand Gesture Recognition with Depth Camera
This paper presents a novel method for markerless hand gesture recognition with a recently developed depth sensor. The proposed method encompasses a collection of techniques that enable the modeling and recogn...
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Chapter and Conference Paper
Interactive Virtual Try-On Based on Real-Time Motion Capture
In this paper, we present an augmented reality system for interactive virtual try-on of garments based on real-time motion capture. The system uses a commodity depth sensor to obtain depth images and joint mot...
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Chapter and Conference Paper
Location Based Robust Audio Watermarking Algorithm for Social TV System
There is a big gap between TV and social network in conventional Social Networking Services. The mobile terminals cannot get the interactive URL from TV broadcasting automatically and the social network cannot...
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Chapter and Conference Paper
MRQSim: A Moving Range Query Simulation Platform in Spatial Networks
In this paper, we present our system MRQSim to efficiently conduct the continuous range query in the simulated road network environment when the query object moves. We propose two kinds of query types and cons...
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Chapter and Conference Paper
AutoBayesian: Develo** Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically construct Bayesian networks ...
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Chapter and Conference Paper
StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams
In this demo, we present the StreamFitter system for real-time linear regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to continuously update the ...
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Chapter and Conference Paper
Classify Uncertain Data with Decision Tree
This demo presents a decision tree based classificationsystem for uncertain data. Decision tree is a commonlyused data classification technique. Tree learning algorithms cangenerate decision tree models from a...
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Chapter and Conference Paper
The User’s Emotional Elements Research of Mobile Network Products Development Guided by User Experience
In the whole products process of enterprise-class, the product definition decides the product’s “gene”. By way of in-depth research on user experience and behavior, our brand strategy, product planning and pro...
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Chapter and Conference Paper
wNeighbors: A Method for Finding k Nearest Neighbors in Weighted Regions
As the fundamental application of Location Based Service (LBS), k nearest neighbors query has received dramatic attention. In this paper, for the first time, we study how to monitor the weighted k nearest neighbo...
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Chapter and Conference Paper
Gaze Data Collection with the Off-the-Shelf Devices
Gaze is a very important modality in Human-computer Interaction (HCI). Sufficient gaze data is one of the vital foundations for automatic gaze tracking. In this paper, we propose a method to collect automatic ...
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Chapter and Conference Paper
Summarizing and Extracting Online Public Opinion from Blog Search Results
As more and more people are willing to publish their attitudes and feelings in blogs, how to provide an efficient way to summarize and extract public opinion in blogosphere has become a major concern for both ...
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Chapter and Conference Paper
An Effective Service Discovery Model for Highly Reliable Web Services Composition in a Specific Domain
How to discover suitable Web services becomes more and more important in supporting highly reliable Web services composition. Nowadays, related work mainly focuses on syntax agreement and compatible matching t...
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Chapter and Conference Paper
Courseware Recommendation in E-Learning System
E-learning systems , as an education pattern, are becoming more and more popular. In e-learning systems, courseware management is an indispensable part. As the number of various courseware increases, how to fi...
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Chapter and Conference Paper
An Effective Web Page Layout Adaptation for Various Resolutions
Because of the increasing variety of user terminals, there is a great demand for the Web pages adapt to various resolution terminals with good readability. This paper describes an effective approach to display...
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Chapter and Conference Paper
Process Control Model in Web-Based e-Learning
Nowadays most web-based learning systems have already utilized advanced technologies like web services and etc., even grid computing to minimize the gap between traditional learning and e-Learning. Meanwhile, ...
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Chapter and Conference Paper
BM + -Tree: A Hyperplane-Based Index Method for High-Dimensional Metric Spaces
In this paper, we propose a novel high-dimensional index method, the BM + -tree, to support efficient processing of similarity search queries in high-dimensional spaces. The main idea of the proposed index is to ...