69 Result(s)
within
Chapter
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
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
Efficient Group Top-k Spatial Keyword Query Processing
With the proliferation of geo-positioning and geo-tagging, spatial web objects that possess both a geographical location and textual description are gaining in prevalence. Given a spatial location and a set of...
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Chapter and Conference Paper
Accelerating BigBench on Hadoop
Benchmarking Big Data systems is an open challenge. The existing Micro-Benchmarks (e.g. TeraSort) do not present an end-to-end scenario in real world. To solve this issue, a new towards industry standard bench...
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Chapter and Conference Paper
Community-Based Message Transmission with Energy Efficient in Opportunistic Networks
An Opportunistic Networks is a wireless self-organized network, in which there is no need to build a fixed connectivity between source node and destination node, and the communication depends on the opportunit...
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Chapter and Conference Paper
Domain-Specific Entity Linking via Fake Named Entity Detection
The traditional named entity detection (NED) and entity linking (EL) techniques cannot be applied to domain-specific knowledge base effectively. Most of existing techniques just take extracted named entities a...
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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
Learning-Based SPARQL Query Performance Prediction
According to the predictive results of query performance, queries can be rewritten to reduce time cost or rescheduled to the time when the resource is not in contention. As more large RDF datasets appear on th...
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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
Group Signature Based Trace Hiding in Web Query
To provide better service or push personalized advertisement, Internet companies collect users’ browsing information intentionally to analyze their behaviors. However, users want to hide browsing traces someti...
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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
Building a Large-Scale Cross-Lingual Knowledge Base from Heterogeneous Online Wikis
Cross-Lingual Knowledge Bases are very important for global knowledge sharing. However, there are few Chinese-English knowledge bases due to the following reasons: 1) the scarcity of Chinese knowledge in exist...
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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...
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Chapter and Conference Paper
MATAR: Keywords Enhanced Multi-label Learning for Tag Recommendation
Tagging is a popular way to categorize and search online content, and tag recommendation has been widely studied to better support automatic tagging. In this work, we focus on recommending tags for content-bas...
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Chapter and Conference Paper
A Study of Visual and Semantic Similarity for Social Image Search Recommendation
Partially due to the short and ambiguous keyword queries, many image search engines group search results into conceptual image clusters to minimize the chance of completely missing user search intent. Very oft...
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Chapter and Conference Paper
Learning to Recommend with User Generated Content
In the era of Web 2.0, user generated content (UGC), such as social tag and user review, widely exists on the Internet. However, in recommender systems, most of existing related works only study single kind of...
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Chapter and Conference Paper
Recurrent Neural Networks with External Memory for Spoken Language Understanding
Recurrent Neural Networks (RNNs) have become increasingly popular for the task of language understanding. In this task, a semantic tagger is deployed to associate a semantic label to each word in an input sequ...
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Chapter and Conference Paper
Exploiting Ontological Reasoning in Argumentation Based Multi-agent Collaborative Classification
Argumentation-based multi-agent collaborative classification is a promising paradigm for reaching agreements in distributed environments. In this paper, we advance the research by introducing a new domain onto...
