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Distributed Convoy Pattern Mining
2016 17th IEEE International Conference on Mobile Data Management (MDM), 2016Due to the wide spread of mobile devices equipped with location sensors, the amount of mobility data being generated is enormous. Mining this data to reveal interesting behavioral patterns has gained attention in recent years. Various mobility patterns have been proposed which describe collective mobility behaviour.
Faisal Orakzai +2 more
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Introduction to Pattern Mining
2014We present an overview of data mining techniques for extracting knowledge from large databases with a special emphasis on the unsupervised technique pattern mining. Pattern mining is often defined as the automatic search for interesting patterns and regularities in large databases.
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Mining Sequential Patterns with Pattern Constraint
2015Mining sequential patterns is to find the sequential purchasing behaviors for most of the customers. There were many algorithms proposed for discovering all the sequential patterns. However, users may be only interested in certain items or behaviors.
Show-Jane Yen +3 more
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Mining Surprising Periodic Patterns
Data Mining and Knowledge Discovery, 2004In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considered very significant if its actual occurrence frequency exceeds the prior expectation by a large margin.
Jiong Yang 0001 +2 more
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Trajectory Data Pattern Mining
2014In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns.
Masciari E, Shi Gao, Carlo Zaniolo
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Mining Patterns of Cyberbullying on Twitter
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017Cyberbullying refers to the use of text, images, audio and video to harass or harm individuals or groups on a repetitive and non–stop basis in online social networks. The phenomenon has emerged as a serious societal and public health problem that demands accurate methods for the detection of cyberbullying instances to mitigate the consequences.
Charalampos Chelmis +2 more
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2012 IIAI International Conference on Advanced Applied Informatics, 2012
We herein investigate finding unusual patterns from a given string as a text. In the present paper, the pattern is expressed as a sub string of the string. The natural assumption with respect to the frequency of a pattern is that the shorter the length of the pattern, the larger the frequency of the pattern.
Yasuhiro Yamada +3 more
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We herein investigate finding unusual patterns from a given string as a text. In the present paper, the pattern is expressed as a sub string of the string. The natural assumption with respect to the frequency of a pattern is that the shorter the length of the pattern, the larger the frequency of the pattern.
Yasuhiro Yamada +3 more
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Mining Supplemental Frequent Patterns
2008The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transaction database. With given minimum support (min_sup) and minimum share support (min_share_sup), each SFP includes a core frequent pattern (BFP) used to draw other frequent or ...
Yintian Liu +4 more
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Mining inter-sequence patterns
Expert Systems with Applications, 2009Sequential pattern and inter-transaction pattern mining have long been important issues in data mining research. The former finds sequential patterns without considering the relationships between transactions in databases, while the latter finds inter-transaction patterns without considering the ordered relationships of items within each transaction ...
Chun-Sheng Wang, Anthony J. T. Lee
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Probabilistic Frequent Pattern Mining by PUH-Mine
2015To mine frequent itemsets from uncertain data, many existing algorithms rely on expected support based mining. An alternative approach relies on probabilistic based mining, which captures the frequentness probability. While the possible world semantics are widely used, the exponential growth of possible worlds makes the probabilistic based mining ...
Wenzhu Tong +3 more
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