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Using Closed n-set Patterns for Spatio-Temporal Classification

Samulevicius, Saulius and Pitarch, Yoann and Pedersen, Torben Bach Using Closed n-set Patterns for Spatio-Temporal Classification. (2014) In: 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), 1 September 2014 - 5 September 2014 (Munich, Germany).

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Official URL: http://dx.doi.org/10.1007/978-3-319-10160-6_25


Today,huge volumes of sensor data are collected from many different sources. One of the most crucial data mining task considering this data is the ability to predict and classify data to anticipate trends or failures and take adequate steps. While the initial data might be of limited interest itself, the use of additional information, e.g., latent attributes, spatio-temporal details, etc., can add significant values and interestingness. In this paper we present a classification approach, called Closed n-set Spatio-Temporal Classification (CnSC), which is based on the use of latent attributes, pattern mining, and classification model construction. As the amount of patterns generated is huge, we employ a scalable NoSQL-based graph database for efficient storage and retrieval. The classification model for a specific context is constructed by aggre- gating the most similar patterns. By considering hierarchies in the latent attributes, we define pattern and context similarity scores, and use these for ranking and aggregation. Pattern-based classification shows compet- itive results compared with other prediction strategies

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 8646 of Lecture Notes in Computer Science ISSN: 0302-9743 ISBN: 978-3-319-10159-0 The original PDF is available at: http://link.springer.com/chapter/10.1007%2F978-3-319-10160-6_25
HAL Id:hal-01399862
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Aalborg University (DENMARK)
Laboratory name:
Deposited On:07 Nov 2016 09:01

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