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Showing 1 to 11 of 11 for “"Sequential Pattern Mining"”.
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Sequential pattern mining with uncertain data
… of uncertain data. However, traditional data mining algorithms are usually inapplicable in uncertain data because of its probabilistic nature. Uncertainty has to be carefully handled; otherwise, it might significantly downgrade the quality of underlying data mining applications.</p> …
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CASM: searching context-aware sequential patterns iteratively
Many applications are interested in mining context-aware sequential patterns such as opinions, common navigation patterns, and product recommendations. However, traditional sequential pattern mining algorithms are not effective to mine such patterns. We thus study the problem of searching …
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Unsupervised discovery of human behavior and dialogue patterns in data from an online game
… semantically to simplify the game logs. Next, sequential pattern mining is used to find action-dialogue sequences that correspond to higher-level events. Finally, these sequences are grouped according to their event. The system can not yet replace human annotation, but the results are promising …
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Harmonizing data mining and static analysis to tackle hardware and system level verification
… on STAR, a technique for generating input vector patterns for all paths of an RTL design using RTL symbolic execution. To attack the path explosion problem in STAR, we present HYBRO and the symbolic state caching method. HYBRO uses branch coverage metric to guide the path exploration. It is a …
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Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation
… system accuracy will be improved if more complex sequential patterns of user purchase behavior are learned and included in its user-item matrix input, to make it more informative before collaborative filtering. Existing recommendation systems that use mining techniques with some sequences are …
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Hybrid intelligent approaches for business process sequential analysis.
… and very diverse values. Since workflow data is sequential in nature, there are a number of data mining methods such as sequential pattern mining and probabilistic models that can be useful for predicting process transitions or process outcomes. None of these techniques alone can adequately cope …
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Extraction and identification of frequent sequential patterns in transcription factor binding site organization of enhancers
… transcriptional activity. Using frequent sequential pattern mining techniques from the classical data mining field, the importance of linear order in enhancer role and structure was explored in this thesis. Common orderings of binding sites within enhancers were identified across nine cell …
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Multivariate sequential contrast pattern mining and prediction models for critical care clinical informatics
Data mining and knowledge discovery involves efficient search and discovery of patterns in data that are able to describe the underlying complex structure and properties of the corresponding system. To be of practical use, the discovered patterns need to be novel, informative and interpretable. …
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Advanced space-time integration for knowledge discovery in human mobility studies
… been made to characterize human activity-travel patterns from the spatio-temporal mobility data. However, knowledge discovery from the large-scale human mobility data remains a challenging task due to its complex spatio-temporal variations. Most traditional statistical and machine learning …
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Heartbeat location assistance for electrocardiograms
… are other signals that also exhibit distinctive patterns at the time of each heartbeat; however, the ECG is still the most prevalently used. Analyzing the ECG alone can be problematic because ECG data can be noisy. The noise often makes it appear as if the heartbeat is missing or that multiple …
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Extending sequential pattern analyses for understanding the arrangement of learning events: maximum gaps, conditional associations, and permutation tests
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01