NDLI: Prediction based on hybrid method in complex event processing

Content Provider	IEEE Xplore Digital Library
Author	Jan Lang Capik, Z.
Copyright Year	2014
Description	Author affiliation: Inst. of Inf. & Software Eng., Slovak Univ. of Technol., Bratislava, Slovakia (Jan Lang; Capik, Z.)
Abstract	This paper presents a procedure for performing predictive analysis of complex events occurrence in time-critical complex event processing systems. Complex event processing (CEP) is one of the three basic styles of event processing, which involve the detection and identification of dependencies in the sequences of selected events from various sources. CEP allows applications to monitor several streams of events, analyze them according to predetermined rules, and respond to the identified opportunities and threats in real time. With CEP it is possible to identify and apply business intelligence over the streams of events, and it allows user to easily identify the complex events with the temporal and spatial constraints. CEP is a technology that is critical in an environment where time plays an important role, in real time decision making. CEP increases the visibility and availability of the information, making it better and faster response to the emergence of situations difficult to predict. This paper deals with the analysis and use of available techniques for classification and prediction in complex event processing. In this paper we present the verification of selected methods and their application in predicting the complex events. For this purpose was designed and implemented application CepPredictiveAnalysis. The prediction is performed by the proposed hybrid method. Despite certain limitations, the system gives acceptable accuracy in financially-oriented applications.
Sponsorship	IEEE Hungary Sect.
Starting Page	315
Ending Page	320
File Size	787025
Page Count	6
File Format	PDF
ISBN	9781479934416
e-ISBN	9781479934423
DOI	10.1109/SAMI.2014.6822430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-23
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Neural networks Sociology Real-time systems Statistics Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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