40 Result(s)
within
Chapter
Yao **xi
Artificial Intelligence
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
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
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
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 ...
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Chapter and Conference Paper
Probabilistic Estimation for Generalized Rough Modus Ponens and Rough Modus Tollens
We review concepts and principles of Modus Ponens and Modus Tollens in the areas of rough set theory and probabilistic inference. Based on the upper and the lower approximation of a set as well as the existing...
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Chapter and Conference Paper
Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach
Smartphones are widely available commercial devices and using them as a basis to creates the possibility of future widespread usage and potential applications. This paper utilizes the embedded sensors in a sma...
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Chapter and Conference Paper
Uncovering Locally Discriminative Structure for Feature Analysis
Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminative information is also of imp...
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Chapter and Conference Paper
Ontology Based Suggestion Distribution System
The digitization of modern cities has brought cities to a new level. There are still many new areas yet to be discovered in this new ecosystem. Today, there is an urgent need for smarter cities to support the ...
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Chapter and Conference Paper
Dynamic Allocation of Virtual Resources Based on Genetic Algorithm in the Cloud
Cloud computing provides dynamic resource allocation using virtualization technology to greatly improve resource efficiency. However, current resource reallocation solution seldom considers the stability of VM...
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Chapter and Conference Paper
EEST: Entity-Driven Exploratory Search for Twitter
Social media has become a comprehensive platform for users to obtain information. When searching over the social media, users’ search intents are usually related to one or more entities. Entity, which usually ...
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Chapter and Conference Paper
Private Range Queries on Outsourced Databases
With the advent of cloud computing, data owners could upload their databases to the cloud service provider to relief the burden of data storage and management. To protect sensitive data from the cloud, the dat...
