NDLI: Research on Event Prediction Algorithm Based on Event Sequence Semantic

Content Provider	IEEE Xplore Digital Library
Author	Chuanfei Xu Shukuan Lin Jianzhong Qiao Ge Yu Tiancheng Zhang
Copyright Year	2009
Abstract	Event prediction in event stream is an important problem in temporal data mining. However, existing event prediction algorithms are based on string prediction in which a character represents an event or an event type, do not take into account event sequence semantic and can not predict for infrequent event sequences. In this paper, an event prediction algorithm based on event sequence semantic called SVClustering-SVR is proposed to predict probability of target event occurrence in event stream in appointed interval. We build a vector structure called semantic vector to express event sequence semantic, and then utilize the attributes of standardizing semantic vector and confidence of rule which is generated by event sequences and target event to form samples space. Finally, we use Support Vector Regression (SVR) to build prediction model. To improve the accuracy of prediction, we also define semantic distance between event sequences and cluster semantic vectors. SVClustering-SVR algorithm can predict for infrequent event sequences and those not appeared in training set. Experimental results show the effectiveness of SVClustering-SVR algorithm.
Starting Page	604
Ending Page	608
File Size	375761
Page Count	5
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Information science Accuracy Clustering algorithms Hidden Markov models Predictive models Prediction algorithms Educational institutions Data engineering Fuzzy systems
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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