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Predicting next location using a variable order Markov model
Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming, 2014Due to the booming industry of location-based services, the analysis of human location histories is increasingly important. Next location prediction is essential to many location-based services. Predicting user's next location usually involves obtaining significant places from the history trajectories and predicting location with a certain statistic ...
Jie Yang +4 more
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Markov Models of Queueing–Inventory Systems with Variable Order Size
Cybernetics and Systems Analysis, 2017Markov models of queueing–inventory systems with variable order size are investigated. Two classes of models are considered: with instant service and with nonzero service time. The model with nonzero service time assumes that impatient customers can form a queue of either finite or infinite length.
A. Z. Melikov +2 more
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A Novel Variable-order Markov Model for Clustering Categorical Sequences
IEEE Transactions on Knowledge and Data Engineering, 2014Clustering categorical sequences is an important and difficult data mining task. Despite recent efforts, the challenge remains, due to the lack of an inherently meaningful measure of pairwise similarity. In this paper, we propose a novel variable-order Markov framework, named weighted conditional probability distribution (WCPD), to model clusters of ...
null Tengke Xiong +3 more
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Location Prediction Based on Variable-order Markov Model and User's Spatio-temporal Rule
2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018Location based services are widely used and can bring convenience to people's life. Improving the accuracy of location prediction is important for the service quality. We propose a location predication method VMSTPM which combining the variable order Markov model and user’s spatio-temporal rule.
Ying Xia +3 more
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A Variable-Order Markov-Chain-Based Model for Rayleigh Fading and Rake Receiver
IEEE Signal Processing Letters, 2004The reliability of usual Markov chain models for Rayleigh fading depends strongly on the channel variation regime. In this letter, a flat Rayleigh fading channel and RAKE receiver output model for all fading variation speeds is proposed. The complex Gaussian fading and the RAKE output processes are bandlimited.
A. Saadani, P. Gelpi, P. Tortelier
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Cell-related location area planning for 4G PCS networks with variable-order Markov model
Journal of Systems and Software, 2013Abstract Location management is a critical issue in personal communication service (PCS) networks, tracking the location of user equipment (UE) with the goal of minimizing total signaling cost. Previous work can be classified into two categories: static and dynamic. Static schemes partition networks into fixed size LAs.
Shih-Lin Wu +2 more
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CpG Island Identification with Higher Order and Variable Order Markov Models
2008Identifying the location and function of human genes in a long sequence of genome is difficult due to lack of sufficient information about genes. Experimental evidence has suggested that there exists strong correlation between CpG islands and genes immediately following them.
Zhenqiu Liu, Dechang Chen, Xue-wen Chen
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Recognition of User Intentions for Interface Agents with Variable Order Markov Models
2009A key aspect to study in the field of interface agents is the need to detect as soon as possible the user intentions. User intentions have an important role for an interface agent because they serve as a context to define the way in which the agents can collaborate with users.
Marcelo G. Armentano, Analía A. Amandi
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Location Privacy Protection Method based on Variable-Order Markov Prediction Model
2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021), 2021Simin Zhu, Xin Lv, Lin Yu
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2015
The growing demand for specialists in analyzing large volumes of data has led to an emerging profile of knowledge managers known as data scientists. How to address the different and complex scenarios with mathematical methods makes a difference when to apply them successfully in a dynamic environment such as the management indicators.
Gustavo Illescas +3 more
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The growing demand for specialists in analyzing large volumes of data has led to an emerging profile of knowledge managers known as data scientists. How to address the different and complex scenarios with mathematical methods makes a difference when to apply them successfully in a dynamic environment such as the management indicators.
Gustavo Illescas +3 more
openaire +1 more source