67 Result(s)
within
Chapter
Conference Paper
Yao **xi
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval
Answer Retrieval is a task of automatically retrieving relevant answers towards a specific question. The recent studies, in this field, have witnessed the vast success of non-factoid QA methods which leverage ...
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Chapter and Conference Paper
\(R^2\) -Tree: An Efficient Indexing Scheme for Server-Centric Data Center Networks
Index plays a very important role in cloud storage systems, which can support efficient querying tasks for data-intensive applications. However, most of existing indexing schemes for data centers focus on one ...
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Chapter and Conference Paper
Community Structure Based Shortest Path Finding for Social Networks
With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social ...
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Chapter and Conference Paper
QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query
With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex.It is co...
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Chapter and Conference Paper
Exploiting Geographical Location for Team Formation in Social Coding Sites
Social coding sites (SCSs) such as GitHub and BitBucket are collaborative platforms where developers from different background (e.g., culture, language, location, skills) form a team to contribute to a shared ...
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Chapter and Conference Paper
PURE: A Novel Tripartite Model for Review Sentiment Analysis and Recommendation
Nowadays, more and more users like to leave online reviews. These reviews, which are based on their experiences on a set of service or products, often express different opinions and sentiments. Correlated topi...
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Chapter and Conference Paper
Quantitative Analysis of Learning Data in a Programming Course
Online learning platform, which has taken higher education by storm, provides an opportunity to track students’ learning behaviors. The vast majority of educational data mining research has been carried out ba...
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Chapter and Conference Paper
Boost Clickbait Detection Based on User Behavior Analysis
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...
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Chapter and Conference Paper
Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study
The pull-based development model is an emerging way of contributing to distributed software projects within the Open Source Software (OSS) communities. To train students’ development skills with this modern pa...
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Chapter and Conference Paper
Location-Based Top-k Term Querying over Sliding Window
In part due to the proliferation of GPS-equipped mobile devices, massive svolumes of geo-tagged streaming text messages are becoming available on social media. It is of great interest to discover most frequent...
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Chapter and Conference Paper
A Kernel-Based Approach to Develo** Adaptable and Reusable Sensor Retrieval Systems for the Web of Things
In the era of the Web of Things, a vast number of sensors and data streams are accessible to client applications as Web resources. Web Sensor Retrieval systems (WSR) help client applications to access Web-enab...
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Chapter and Conference Paper
A Secure and Robust Covert Channel Based on Secret Sharing Scheme
Network covert channel (referred to as network steganography) is a covert communication technique that uses the redundancies of network protocols to transfer secret information. While encryption only protects ...
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Chapter and Conference Paper
A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems
Recommender system has become one of the most popular techniques to cope with the information overload problem. In the past years many algorithms have been proposed to obtain accurate recommendations. Such met...
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Chapter and Conference Paper
Variance Based Determination of Three-Way Decisions Using Probabilistic Rough Sets
The probabilistic rough sets is an important generalization of rough sets where a pair of thresholds is used to form new rough regions. The pair of thresholds controls different quality related criteria such a...
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Chapter and Conference Paper
Determining Thresholds in Three-Way Decisions with Chi-Square Statistic
In an evaluation function based three-way decisions model, a pair of thresholds divides a universal set into three regions called a trisection or tri-partition of the universe: a region consists of objects who...
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Chapter and Conference Paper
Towards Coordination Game Formulation in Game-Theoretic Rough Sets
Game-theoretic rough set model (GTRS) is a recent advancement in determining three rough set regions by formulating games between multiple measures. GTRS has been focusing on researching competitive games in w...
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Chapter and Conference Paper
Definability in Incomplete Information Tables
This paper investigates the issues related to definability in an incomplete information table by using interval sets. We review the existing results pertaining to definability in a complete information table. ...
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Chapter and Conference Paper
Utilizing DTRS for Imbalanced Text Classification
Imbalanced data classification is one of the challenging problems in data mining and machine learning research. The traditional classification algorithms are often biased towards the majority class when learni...
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Chapter and Conference Paper
Preference-Aware Top-k Spatio-Textual Queries
A novel query type named preference-aware top-k spatial-textual query is proposed in this paper. Unlike the common measure, this query returns spatial-textual objects ranked according to the warefare of the fa...
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Chapter and Conference Paper
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization
With the development of service oriented computing, web mashups which provide composite services are increasing rapidly in recent years, posing a challenge for the searching of appropriate mashups for a given ...
