Framework for semantic common trajectory mining
Mining people's semantic trajectory behaviours from geotagged photographs
... Building semantic trajectories The second module is to build people’s semantic ...graphic trajectory data contains only spatial and temporal ...on mining people’s meaningful semantically ...
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Mining Individual Behavior Pattern Based on Semantic Knowledge Discovery of Trajectory
... 1 Shandong Normal University, China 2 Shandong University of Finance and Economics, China 3 Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, China This paper attempts to mine the ...
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A Survey on a Uniting Framework of Mining Trajectory Forms of various Secular Stiffness
... a trajectory is different from those of neighboring ...a trajectory is different from those of neighboring ...the trajectory clustering process is handled. A set of trajectory partitions is ...
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Semantic Analytical Reports: A Framework for Postprocessing Data Mining Results
... data mining results can provide valuable insight on the problem being ...on semantic web technologies. The framework input is constituted by PMML and description of background ...Data Mining ...
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Towards Semantic Trajectory Knowledge Discovery
... Introduction Trajectory data are normally obtained from location-aware devices that capture the po- sition of an object at a specific time ...more common, and as a result large amounts of trajectory ...
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A common framework for aspect mining based on crosscutting concern sorts
... In the collaborative A IRCO effort [2], three aspect mining techniques are compared and investigated from the perspec- tive of combination. The techniques include fan-in analysis, dynamic analysis of execution ...
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A common framework for aspect mining based on crosscutting concern sorts
... aspect mining techniques [2] show that a significant chal- lenge rises from the lack of a sound definition of crosscut- ting ...a common finding as results from both techniques are valid, and the Observer is a ...
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The Application of a Semantic Based Process Mining Framework on a Learning Process Domain
... Keywords—process mining, process models, ontology, semantic annotation, reasoner, AI, event logs ...a common challenge with many of the business processes has been on how to develop intelligent ...
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Integrating Semantic Web and Web Mining into Semantic Web Mining
... The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community ...boundaries. Semantic Web can be described as an efficient ...
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Trajectory Clustering Based on Trajectory Structure and Longest Common Subsequence
... Abstract. Trajectory clustering is an important method for mining valuable information from spatio-temporal ...Longest common subsequence clustering algorithm has advantages in distinguishing the ...
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Trajectory data mining: A review of methods and applications
... A common approach in discovering periodic movement patterns is to apply the min- ing on sequences of ...more trajectory points than others, and detects the different periods in ...
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Mining Semantic Loop Idioms
... Probabilistic tree substitution grammars capture surprising patterns hidden in diverse data sets. For their application to make sense, a data set must be diverse to make patterns hard to find, but not so diverse as to ...
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A Semantic Graph-Based Approach for Mining Common Topics From Multiple Asynchronous Text Streams
... five common topics from the streams with the highest average value of ...global semantic graphs which reward words derived from name ...propagate common topics of different streams by exploiting the ...
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Mining Mobile Group Patterns: A Trajectory-Based Approach
... 1 Introduction Behavior research on sociology show that peer pressure and group conformity can affect the buying behaviors of individuals [1]. With a good knowledge of groups a customer belongs to, one can derive ...
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St-Toolkit: A Framework for Trajectory Data Warehousing
... that trajectory identity can be preserved. We adopt the semantic trajectory model, introduced by Spaccapietra et ...a trajectory as the user defined record of the evolution of the position ...
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CiteSeerX — Trajectory Clustering: A Partition-and-Group Framework
... miss common sub-trajectories. Discovering common sub-trajectories is very useful in many applications, espe- cially if we have regions of special interest for ...partition-and-group framework for ...
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OpenDrift v1.0: a generic framework for trajectory modelling
... the widely used PROJ.4 library (proj4.org), through its Python interface pyproj. This allows OpenDrift to combine input data from any coordinate systems, whilst keeping the implementation of new Reader classes as ...
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Semantic web mining trademark databases
... Generally, machine learning algorithms can be separated into three categories: Supervised Learning algorithm, Unsupervised Learning algorithm, and Semi-supervised Learning algorithm. The common supervised learning ...
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ROLE OF ONTOLOGY IN SEMANTIC WEB MINING
... 901 | P a g e A program that wants to compare or combine information across the two databases has to know that these two terms are being used to mean the same thing. Ideally, the program must have a way to discover such ...
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Web Usage Mining with Semantic Analysis
... We also apply the filtering of navigational queries as pro- posed above. To collect the official homepages of entities, we query the combined Dbpedia and Freebase datasets for the values of dbpedia:homepage, dbpedia:url, ...
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