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100 Result(s)
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Article
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list
Nowadays, numerous attacks made by the malware (e.g., viruses, backdoors, spyware, trojans and worms) have presented a major security threat to computer users. Currently, the most significant line of defense a...
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LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the LETOR collection and show how ...
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Article
Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system
In manufacturing grid (MGrid) system, according to functional requirements of a task, there exist a lot of resource services which have similar functional characteristics. Multiple resource services with simil...
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Temporal relation co-clustering on directional social network and author-topic evolution
Analyzing three-way data has attracted a lot of attention recently because such data have intrinsic rich structures and naturally appear in many real-world applications. One typical type of three-way data is m...
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Guest editorial: special issue on data mining with matrices, graphs and tensors
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Article
Community discovery using nonnegative matrix factorization
Complex networks exist in a wide range of real world systems, such as social networks, technological networks, and biological networks. During the last decades, many researchers have concentrated on exploring ...
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Article
Manifold elastic net: a unified framework for sparse dimension reduction
It is difficult to find the optimal sparse solution of a manifold learning based dimensionality reduction algorithm. The lasso or the elastic net penalized manifold learning based dimensionality reduction is n...
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Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization
Memory-based collaborative filtering (CF) aims at predicting the rating of a certain item for a particular user based on the previous ratings from similar users and/or similar items. Previous studies in findin...
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Article
Open AccessCorrecting evaluation bias of relational classifiers with network cross validation
Recently, a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and identically distributed (i.i.d.)...
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Equal contributions and credit given to authors in anesthesiology journals during a 10-year period
To investigate the prevalence and characteristics of the practice of explicitly giving authors equal credit in publications of major anesthesiology journals. Four major anesthesiology journals (Anesthesia and Ana...
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Guest editorial: Integrated spatio-temporal analysis and data mining
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Article
Multi-scale decomposition of point process data
To automatically identify arbitrarily-shaped clusters in point data, a theory of point process decomposition based on kth Nearest Neighbour distance is proposed. We assume that a given set of point data is a mixt...
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Article
A comparison of disciplinary structure in science between the G7 and the BRIC countries by bibliometric methods
Using a collection of papers gathered from the Web of Science, and defining disciplines by the JCR classification, this paper compares the disciplinary structure of the G7 countries (representing high S&T leve...
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Comparison of trends in the quantity and variety of Science Citation Index (SCI) literature on human pathogens between China and the United States
The proportion of pathogenic microorganisms in the microbial world is relatively small, while their threat to human health, economic development and social stability is severe. The quantity and variation of Sc...
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Article
Efficient processing of top-k queries: selective NRA algorithms
Efficient processing of top-k queries has drawn increasing attention from both industry and academia due to its varied applications. Lower access cost is a crucial concern for a top-k query processing. Typically,...
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Article
Non-negative Tri-factor tensor decomposition with applications
Non-negative matrix factorization (NMF) mainly focuses on the hidden pattern discovery behind a series of vectors for two-way data. Here, we propose a tensor decomposition model Tri-ONTD to analyze three-way d...
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Measuring international trade-related technology spillover: a composite approach of network analysis and information theory
The study of international technology spillover focuses on bilateral relationship between host country and home country, and the study of transnational technology network focuses on the position and power of i...
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The changing dynamics in citation index publication position China in a race with the USA for global leadership
Along with China’s economic emergence is a controversy over the quality and international visibility of citation index publications. This study uses bibliometric statistics to shed further light on the global ...
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Guest editorial: spatial and temporal databases
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Comprehensive exploration of urban health by bibliometric analysis: 35 years and 11,299 articles
This paper aims to evaluate the health issues related to urbanization and get an overview of urban health with the bibliometric approach, the powerful tool in quantitatively macroscopic analysis across multipl...