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Chapter and Conference Paper
Estimate on Expectation for Influence Maximization in Social Networks
Finding the most influential nodes is an important issue in social network analysis. To tackle this issue, Kempe et al. proposed the natural greedy strategy, which, although provides a good approximation, suff...
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Chapter and Conference Paper
Advertising Keywords Extraction from Web Pages
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and it has been become a rapidly growing business in recent years. We...
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Chapter and Conference Paper
Feature Selection Based on Mutual Information and Its Application in Hyperspectral Image Classification
This paper investigates mutual information-based feature selection for high dimensional hyperspectral imagery, which accounts for both the relevance of features on classes and the redundancy among features. A ...
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Chapter and Conference Paper
A Clustering Algorithm Based on Matrix over High Dimensional Data Stream
Clustering high-dimensional data stream is a difficult and important issue. In this paper, we propose MStream, a new clustering algorithm based on matrix over high dimensional data stream. MStream algorithm in...
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Chapter and Conference Paper
Evolutionary Taxonomy Construction from Dynamic Tag Space
Collaborative tagging allows users to tag online resources. We refer to the large database of tags and their relationships as a tag space. In a tag space, the popularity and correlation amongst tags capture th...
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Chapter and Conference Paper
Modeling Relations and Their Mentions without Labeled Text
Several recent works on relation extraction have been applying the distant supervision paradigm: instead of relying on annotated text to learn how to predict relations, they employ existing knowledge bases (KB...
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Chapter and Conference Paper
Optimization Control Techniques for Environment Pollution of Cokery
Since fuzzy control technology provides a convenient method for constructing nonlinear controllers via the use of heuristic information, it is a practical alternative for the nonlinear, big inertia and big hys...
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Chapter and Conference Paper
The Methods and Applications for Geospatial Database Updating Based on Feature Extraction and Change Detection from Remote Sensing Imagery
Change detection of the spatial object and geospatial data updating is an important research for geospatial information science, which also guarantee the applications of GIS data. Applying change detection met...
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Chapter and Conference Paper
Measuring Chinese-English Cross-Lingual Word Similarity with HowNet and Parallel Corpus
Cross-lingual word similarity (CLWS) is a basic component in cross-lingual information access systems. Designing a CLWS measure faces three challenges: (i) Cross-lingual knowledge base is rare; (ii) Cross-ling...
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Chapter and Conference Paper
Co-clustering Sentences and Terms for Multi-document Summarization
Two issues are crucial to multi-document summarization: diversity and redundancy. Content within some topically-related articles are usually redundant while the topic is delivered from diverse perspectives. Th...
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Chapter and Conference Paper
Behavioral Consistency Analysis of the UML Parallel Structures
In this paper, we analyze the parallel structural features of UML state machine diagrams and sequence diagrams, and put forward the technique used to describe parallel regions in a state machine diagram and pa...
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Chapter and Conference Paper
Modeling User Expertise in Folksonomies by Fusing Multi-type Features
The folksonomy refers to the online collaborative tagging system which offers a new open platform for content annotation with uncontrolled vocabulary. As folksonomies are gaining in popularity, the expert sear...
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Chapter and Conference Paper
Two Stages Based Organization Name Disambiguity
With the rapid growth of user generated media, Twitter has become an important information resource where users share fresh information on any subject. Pursuing on the problem of finding related tweets to a gi...
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Chapter and Conference Paper
A Novel Method for Community Detection in Complex Network Using New Representation for Communities
During the recent years, community detection in complex network has become a hot research topic in various research fields including mathematics, physics and biology. Identifying communities in complex network...
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Chapter and Conference Paper
XML Query Processing Using Views
A fundamental problem in XML query processing is tree pattern query (TPQ) matching which computes all data instances in an XML database that match an input TPQ. More recently, there is growing attention on app...
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Chapter
Unpacking and Understanding Evolutionary Algorithms
Theoretical analysis of evolutionary algorithms (EAs) has made significant progresses in the last few years. There is an increased understanding of the computational time complexity of EAs on certain combinato...
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Chapter and Conference Paper
Simdedup: A New Deduplication Scheme Based on Simhash
Maintaining higher deduplication throughput with lower system overheads is a challenge for deduplication system in massive data storage environment. In this paper, a near-exact deduplication scheme named Simde...
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Chapter and Conference Paper
Active Semi-supervised Community Detection Algorithm with Label Propagation
Community detection is the fundamental problem in the analysis and understanding of complex networks, which has attracted a lot of attention in the last decade. Active learning aims to achieve high accuracy us...
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Chapter and Conference Paper
Reader Emotion Prediction Using Concept and Concept Sequence Features in News Headlines
This paper presents a method to predicate news reader emotions. News headlines supply core information of articles, thus they can serve as key information for reader emotion predication. However, headlines are...
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Chapter and Conference Paper
PathSimExt: Revisiting PathSim in Heterogeneous Information Networks
Similarity queries in graph databases have been studied over the past few decades. Typically, the similarity queries are used in homogeneous networks, where random walk based approaches (e.g., Personalized Pag...