Applying decision tree algorithm and neural networks to predict forest fires in Lebanon

Journal of Theoretical and Applied Information Technology

Volumn 63, Issue 2, 2014, Pages 282-291

  Karouni, Ali ^a,d   Daya, Bassam ^a,b   Chauvet, Pierre ^c,d  

^a LEBANESE UNIVERSITY   (Lebanon)

^b UMM AL QURA UNIVERSITY   (Saudi Arabia)

^c UNIVERSITÉ CATHOLIQUE DE L'OUEST   (France)

^d UNIVERSITÉ D'ANGERS   (France)

Author keywords

Decision Tree; Forest Fires Prediction; Neural Networks

Indexed keywords

EID: 84901298897     PISSN: 19928645     EISSN: 18173195     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Soumen Chakrabarti, Martin Ester, Usama Fayyad, Johannes Gehrke, Jiawei Han, Shinichi Morishita, Gregory Piatetsky- Shapiro and Wei Wang, Data Mining Curriculum: A Proposal (Version 0.91), August 2004
2. Lijia Guo, Applying Data Mining Techniques in Property/Casualty Insurance, Forums of the Casualty Actuarial Society, 2003
3. Sam Maes, Karl Tuyls, Bram Vanschoenwinkel and Bernard Manderick, Credit Card Fraud Detection Using Bayesian and Neural Networks, Proceedings of the First International NAISO Congress on Neuro Fuzzy Technologies, 2002
4. Patrice Y. Simard, Dave Steinkraus and John C. Platt, Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis, Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR 2003) 0-7695-1960-1/03, IEEE Computer Society
5. Lucian Vintan, Arpad Gellert, Jan Petzold, and Theo Ungerer, Person Movement Prediction Using Neural Networks, Technical Report, Institute of Computer Science, University of Augsburg, April 2004
6. Lamiaa Mostafa and Sherif Abdelazeem, Face Detection Based on Skin Color Using Neural Networks, GVIP 05 Conference, 19- 21 December 2005, CICC, Cairo, Egypt
7. Mary Tai Knox and Nikki Mirghafori, Automatic laughter detection using neural networks, In INTERSPEECH-2007, 2973-2976.
8. Adnan Khashman and Kamil Dimililer, Image Compression using Neural Networks and Haar Wavelet, WSEAS Transactions on Signal Processing, ISSN: 1790-5052 Issue 5, Volume 4, May 2008 pp. 300-309
9. Mazloumi, Moridpour, Currie, and Rose, Exploring the Value of Traffic Flow Data in Bus Travel Time Prediction, Journal of Transportation Engineering, 2012, 138(4), 436-446
10. Bassam Daya, Al Hussain Akoum, Pierre Chauvet, Neural Network Approach for the Identification System of the Type of Vehicle, cicn, pp.162-166, 2010 International Conference on Computational Intelligence and Communication Networks, 2010
11. Janne Suontausta and Juha Häkkinen, Decision tree based text-to-phoneme mapping for speech recognition, INTERSPEECH 2000: 831-834
12. Jong Woo Kim, Byung Hun Lee, Michael J. Shaw, Hsin-Lu Chang and Matthew Nelson, Application of Decision-Tree Induction Techniques to Personalized Advertisements on Internet Storefronts, International Journal of Electronic Commerce Spring2001 Vol. 5 No.3 pp 45-62
13. Prasanta Kumar Dey, Project Risk Management: A Combined Analytic Hierarchy Process and Decision Tree Approach, Cost Engineering Vol. 44/No. 3 March 2002
14. Sotiris A Pavlopoulos, Antonis CH Stasis and Euripides N Loukis, A decision tree - based method for the differential diagnosis of Aortic Stenosis from Mitral Regurgitation using heart sounds, BioMedical Engineering OnLine 2004, 3:21 doi:10.1186/1475-925X- 3-21, June 2004
15. Manpreet Singh, Parminder Kaur Wadhwa and Parvinder Singh Sandhu, Human Protein Function Prediction using Decision Tree Induction, IJCSNS International Journal of Computer Science and Network Security, VOL.7 No.4, April 2007
16. Jeff Markey and Antonios Atlasis, Using Decision Tree Analysis for Intrusion Detection: A How-To Guide, GIAC (GCIA) Gold Certification, June 2011
17. R. R. Kabra and R. S. Bichkar, Performance Prediction of Engineering Students using Decision Trees, International Journal of Computer Applications (0975 - 8887) Volume 36- No.11, December 2011
18. Ebenezer Hailemariam, Rhys Goldstein, Ramtin Attar and Azam Khan, Real-Time Occupancy Detection using Decision Trees with Multiple Sensor Types, SimAUD 2011 Conference Proceedings: Symposium on Simulation for Architecture and Urban Design.
19. Reforest Lebanon Association, "Tremendous deforestation of Lebanon" Report
20. A. Bahety, Extension and Evaluation of ID3 - Decision Tree Algorithm, University of Maryland, College Park
21. J.R. Quinlan, Induction of Decision Trees, Machine Learning 1: 81-106, 1986
22. Evaluation: From Precision, Recall And FMeasure To Roc, Informedness, Markedness & Correlation Powers, D.M.W. Journal Of Machine Learning Technologies, Issn: 2229/3981 & Issn: 2229-399x, Volume 2, Issue 1, 2011, Pp-37-63