60 Result(s)
within
English
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Jian** **
Conference Paper
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Chapter and Conference Paper
Collaborative Scenario Building: The Case of an ‘Advertainment’ Portal
Based on the ongoing development of a portal intended for use during the upcoming Olympics event in 2008, the portal’s main purpose is to allow volunteers, spectators, or any other participants of the Bei**g ...
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Chapter and Conference Paper
Use of Chinese Short Messages
Short text message (SMS) as a key communication means in China received a lot of attention in research community. 114 subjects attended the study, sharing totally 10843 SMS they sent and received daily. We div...
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Chapter and Conference Paper
A Network Coding and Genetic Algorithm Based Power Efficient Routing Algorithm for Wireless Sensor Networks
In a wireless sensor network (WSN), retransmission and acknowledgement (ACK) are required to make reliable packet delivery. In this paper, a Network Coding based Power Efficient Routing (NCPER) algorithm integ...
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Chapter and Conference Paper
Goal-Directed Module Extraction for Explaining OWL DL Entailments
Module extraction methods have proved to be effective in improving the performance of some ontology reasoning tasks, including finding justifications to explain why an entailment holds in an OWL DL ontology. H...
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Chapter and Conference Paper
A Decomposition-Based Approach to Optimizing Conjunctive Query Answering in OWL DL
Scalable query answering over Description Logic (DL) based ontologies plays an important role for the success of the Semantic Web. Towards tackling the scalability problem, we propose a decomposition-based app...
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Chapter and Conference Paper
Measuring and Comparing Effectiveness of Data Quality Techniques
Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this paper, we propose a quantitative approach fo...
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Chapter and Conference Paper
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain loss function using gradient...
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Chapter and Conference Paper
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the target-domain. The main challenge is tha...
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Chapter and Conference Paper
Temporal Maximum Margin Markov Network
Typical structured learning models consist of a regression component of the explanatory variables (observations) and another regression component that accounts for the neighboring states. Such models, includin...
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Chapter and Conference Paper
Flash-Based Database Systems: Experiences from the FlashDB Project
The new characteristics of flash memory bring great challenges in optimizing database performance, by using new querying algorithms, indexes, buffer management schemes, and new transaction processing protocols...
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Chapter and Conference Paper
Modeling Users’ Data Usage Experiences from Scientific Literature
In the new data-intensive science paradigm, data infrastructures have been designed and built to collect, archive, publish, and analyze scientific data for a variety of users. Little attention, however, has be...
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Chapter and Conference Paper
Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis
Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumption...
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Chapter and Conference Paper
Musical Skin: A Dynamic Interface for Musical Performance
Compared to pop music, the audience of classical music has decreased dramatically. Reasons might be the way of communication between classic music and its audience that depends on vocal expression such as timb...
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Chapter and Conference Paper
An Incremental Structured Part Model for Image Classification
The state-of-the-art image classification methods usually require many training samples to achieve good performance. To tackle this problem, we present a novel incremental method in this paper, which learns a ...
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Chapter and Conference Paper
A Clustering-Based Ensemble Technique for Shape Decomposition
Ensemble techniques have been very successful in pattern recognition. In this work we investigate ensemble solution for shape decomposition. A clustering-based approach is proposed to determine a final decompo...
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Chapter and Conference Paper
Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images
Symbol spotting can be defined as locating given query symbol in a large collection of graphical documents. In this paper we present a hierarchical graph representation for symbols. This representation allows ...
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Chapter and Conference Paper
Evolutionary Weighted Mean Based Framework for Generalized Median Computation with Application to Strings
A new general framework for generalized median approximation is proposed based on the concept of weighted mean of a pair of objects. It can be easily adopted for different application domains like strings, gra...
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Chapter and Conference Paper
Erratum to: Asia Pacific Business Process Management
Erratum to: M. Song, M.T. Wynn, and J. Liu (Eds.) Asia Pacific Business Process Management DOI: 10.1007/978-3-319-02922-1 ...
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Chapter and Conference Paper
Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel
Network-based protein localization prediction is explored utilizing the protein-protein interaction score along with the network connectivity. Score-based diffusion kernel is introduced to solve the problem. F...
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Chapter and Conference Paper
Palmprint Recognition Using Data Field and PCNN
In this paper, an approach is proposed for palmprint recognition, which uses PCNN and data field theory to extract local statistical structure features of a palmprint. In the method, the data field theory is f...
