![](/images/graphics-bg.png)
Probabilistic and fuzzy logic based event processing for effective business intelligence
Joint Authors
Vaiyapuri, Govindasamy
Perumal, Thambidurai
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 2 (31 Mar. 2016)9 p.
Publisher
Publication Date
2016-03-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
-This paper, focuses o n Probabilistic Complex Event Processing (PCEP) in the context of real world event sources of data streams.
PCEP executes complex event pattern queries on the continuously streaming probabilistic data with uncertainty.
The methodology consists of two phases : Efficient generic event filtering and probabilistic event sequence prediction paradigm.
In the first phase, a Non-deterministic Finite Automaton (NFA) based event matching allows to filter the relevant events by discovering the occurrences of the user defined event patterns in a large volume of continuously arriving data streams.
In order to, express the complex event patterns in a more efficient form, a Complex event processing (CEP) language named as Complex Event Pattern Subscription Language (CEPSL) is developed by extending the existing high level event query languages.
Furthermore, query plan-based approach is used to compile the specified event patterns into the NFA automaton and to distribute to a cluster of state machines to improve the scalability.
In the second phase, an effective Dynamic Fuzzy Probabilistic Relational Model (DFPRM) is proposed to construct the probability space in the form of event hierarchy.
The proposed system deploys a Probabilistic Fuzzy Logic (PFL) based inference engine to derive the composite of event sequence approximately with the reduced probability space.
To determine the effectiveness of the proposed approach, a detailed performance analysis is performed using a prototype implementation.
American Psychological Association (APA)
Vaiyapuri, Govindasamy& Perumal, Thambidurai. 2016. Probabilistic and fuzzy logic based event processing for effective business intelligence. The International Arab Journal of Information Technology،Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581003
Modern Language Association (MLA)
Vaiyapuri, Govindasamy& Perumal, Thambidurai. Probabilistic and fuzzy logic based event processing for effective business intelligence. The International Arab Journal of Information Technology Vol. 13, no. 2 (Mar. 2016).
https://search.emarefa.net/detail/BIM-581003
American Medical Association (AMA)
Vaiyapuri, Govindasamy& Perumal, Thambidurai. Probabilistic and fuzzy logic based event processing for effective business intelligence. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581003
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-581003