Results 21 to 30 of about 43,679 (257)
Research on HMM based link prediction method in heterogeneous network
Tongxin xuebao, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Rong QIAN +4 more
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Dynamic order Markov model for categorical sequence clustering
Journal of Big Data, 2021 Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data.
Rongbo Chen +4 more
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Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure
PLoS ONE, 2021 Cyber insurance is a risk management option to cover financial losses caused by cyberattacks. Researchers have focused their attention on cyber insurance during the last decade.
Yeftanus Antonio +2 more
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Operon Prediction Model Based on Markov Clustering Algorithm [PDF]
International Journal Bioautomation, 2019 There are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed.
Zhenmei Zhang, Yongquan Liang
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Deep Text Mining for Automatic Keyphrase Extraction from Text Documents
Journal of Intelligent Systems, 2011 Due to existence of a huge amount of textual data either on the World Wide Web or in textual databases like PubMed, the development of novel automatic keyphrase extraction methods has emerged as one of the key research problems in recent past ...
Abulaish Muhammad +2 more
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ClickClust: An R Package for Model-Based Clustering of Categorical Sequences
Journal of Statistical Software, 2016 The R package ClickClust is a new piece of software devoted to finite mixture modeling and model-based clustering of categorical sequences. As a special kind of time series, categorical sequences, also known as categorical time series, exhibit a time ...
Volodymyr Melnykov
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Applied SciencesThe spectrums of one type of object under different conditions have the same features (up, down, protruding, concave) at the same spectral positions, which can be used as primary parameters to evaluate the difference among remotely sensed pixels.
Zhaohui Wang
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A Markov Prediction Model Based on Page Hierarchical Clustering [PDF]
International Journal of Distributed Sensor Networks, 2009 The Markov prediction model is the basis of Web prefetching and personalized recommendation. It can be used to extract connotative Web link hierarchy. The visualized site structure can not only help users understand the relationships between the pages they have visited, but also suggest where they can go next.
Yao Yao, Lei Shi, Zhanhong Wang
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International Journal of Advanced Robotic Systems, 2020 Serious noise pollution and background interference bring great difficulties to infrared image segmentation of electronic equipment. A novel infrared image segmentation method based on multi-information fused fuzzy clustering method is proposed in this ...
Can Qi +5 more
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Searching remote homology with spectral clustering with symmetry in neighborhood cluster kernels. [PDF]
PLoS ONE, 2013 Remote homology detection among proteins utilizing only the unlabelled sequences is a central problem in comparative genomics. The existing cluster kernel methods based on neighborhoods and profiles and the Markov clustering algorithms are currently the ...
Ujjwal Maulik, Anasua Sarkar
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