22 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Software Engineering
**u Tao
Chapter
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Chapter and Conference Paper
A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream
The real-time detection of bursty topics on microblog has acquired much research efforts in recent years, due to its wide use in a range of user-focused tasks such as information recommendation, trend analysis...
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Chapter and Conference Paper
Taxonomy Tree Based Similarity Measurement of Textual Attributes of Items for Recommender Systems
Recommender systems have become indispensable tools for numerous industries and individual who utilize e-commerce. Although recommender systems rely on the similarities between the items to be recommended, mos...
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Chapter and Conference Paper
Parallel Materialization of Datalog Programs with Spark for Scalable Reasoning
As the volume of semantic data increases rapidly, semantic reasoning becomes a very challenging task. Existing scalable reasoners focus on fragments of OWL 2 RL (eg. RDFS, OWL Horst), and cannot support Semant...
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Chapter and Conference Paper
Attribute-Based Influence Maximization in Social Networks
As traditional advertising model exposes its weakness of ignoring consumer interests, the concept of narrow advertising draws increasingly more attention which considers the feature of each user. Under this sp...
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Chapter and Conference Paper
Moving Video Mapper and City Recorder with Geo-Referenced Videos
There has been growing interest in correlating co-visualizing a video stream to the dynamic geospatial attributes of the moving camera. Moving videos comes from various GPS-enabled video recording devices and ...
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Chapter and Conference Paper
Discovering Functional Dependencies in Vertically Distributed Big Data
The issue of discovering FDs has received a great deal of attention in the database research community. However, as the problem is exponential in the number of attributes, existing approaches can only be appli...
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Chapter and Conference Paper
The Detection of Multiple Dim Small Targets Based on Iterative Density Clustering and SURF Descriptor
Following the classical TBD (Track before Detection) framework popular used in ATR (Automatic Target Recognition), a fast algorithm is proposed in this paper. Different from the classical data association meth...
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Chapter and Conference Paper
A Classification-Based Demand Trend Prediction Model in Cloud Computing
Cloud computing allows dynamic scaling of resources to users as needed. With the increasing demand for cloud service, a challenging problem is how to minimize cloud resource provisioning costs while meeting th...
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Chapter and Conference Paper
File Relation Graph Based Malware Detection Using Label Propagation
The rapid development of malicious software programs has posed severe threats to Computer and Internet security. Therefore, it motivates anti-malware industry to develop novel methods which are capable of prot...
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Chapter and Conference Paper
Analyzing File-to-File Relation Network in Malware Detection
Due to its major threats to Internet security, malware detection is of great interest to both the anti-malware industry and researchers. Currently, features beyond file content are starting to be leveraged for...
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Chapter and Conference Paper
Aspect and Ratings Inference with Aspect Ratings: Supervised Generative Models for Mining Hotel Reviews
Today, a large volume of hotel reviews is available on many websites, such as TripAdvisor (http://www.tripadvisor.com) and Orbitz (http://www.orbi...
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Chapter and Conference Paper
Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation
People often share their visited Points-of-Interest (PoIs) by “check-ins”. On the one hand, human mobility varies with each individual but still implies regularity. Check-ins of an individual tend to localize ...
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Chapter and Conference Paper
Dividing Traffic Sub-areas Based on a Parallel K-Means Algorithm
In order to alleviate the traffic congestion and reduce the complexity of traffic control and management, it is necessary to exploit traffic sub-areas division which should be effective in planing traffic. Som...
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Chapter and Conference Paper
A Semantic-Based EMRs Integration Framework for Diagnosis Decision-Making
Discovering latent information from Electronic Medical Re- cords (EMRs) for guiding diagnosis decision making is a hot issue in the era of big data. An EMR composes of various data (e.g., patient information, ...
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Chapter and Conference Paper
High-Payload Image-Hiding Scheme Based on Best-Block Matching and Multi-layered Syndrome-Trellis Codes
Image steganography has been widely used in the domain of privacy protection, such as the storage and transmission of the secret images. This paper presents a novel image-hiding scheme to embed the secret imag...
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Chapter and Conference Paper
An Efficient Algorithm of Association Information Mining on Web Pages with Dynamic Scripts
The hyperlink analysis algorithm is widely used by public search engines. But with the development of the websites with dynamic script, this algorithm is not fit to realize the efficient searching for these re...
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Chapter and Conference Paper
Research on Electromagnetic Wave Through-The-Earth Wireless Communication for Coal Mine Disaster
When the coal mine disaster happens, the communications system paralysis causes the fact that the stranded personnel and the rescue groups are unable to relate. This situation is the biggest difficult problem ...
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Chapter and Conference Paper
3DES Implementation Based on FPGA
In order to meet the demand of plenty continuous encrypting-deciphering, and meet the demand of enhancing the security of encrypting-deciphering algorithm, the fundamental technologies such as pipeline technol...
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Chapter and Conference Paper
Adding Integrity Constraints to the Semantic Web for Instance Data Evaluation
This paper presents our work on supporting evaluation of integrity constraint issues in semantic web instance data. We propose an alternative semantics for the ontology language, i.e., OWL, a decision procedur...
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Chapter and Conference Paper
The Accuracy Enhancements of Virtual Antenna for Location Based Services
Measurement report (MR) base methods are a kind of cell identifier (CI) base methods whose parameters could be extracted from MRs and the cell configuration database (CCD). They are utilized for location based...
