Excellence in Research and Innovation for Humanity

ICPSIM 2017 : 19th International Conference on Philosophy of Statistical Inference and Modeling

Durban, South Africa
January 12 - 13, 2017

Conference Code: 17ZA01ICPSIM

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICPSIM 2017 has teamed up with the Special Journal Issue on Philosophy of Statistical Inference and Modeling. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 30, 2016
Notification of Acceptance/Rejection   December 5, 2016
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 10, 2016
Conference Dates   January 12 - 13, 2017

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
2) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
3) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
4) Optical Fiber Data Throughput in a Quantum Communication System
Arash Kosari, Ali Araghi
5) A Query Optimization Strategy for Autonomous Distributed Database Systems
Dina K. Badawy, Dina M. Ibrahim, Alsayed A. Sallam
6) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
7) Comparison of Different Methods to Produce Fuzzy Tolerance Relations for Rainfall Data Classification in the Region of Central Greece
N. Samarinas, C. Evangelides, C. Vrekos
8) Missing Link Data Estimation with Recurrent Neural Network: An Application Using Speed Data of Daegu Metropolitan Area
JaeHwan Yang, Da-Woon Jeong, Seung-Young Kho, Dong-Kyu Kim
9) Estimation of Train Operation Using an Exponential Smoothing Method
Taiyo Matsumura, Kuninori Takahashi, Takashi Ono
10) Energy Efficiency Analysis of Crossover Technologies in Industrial Applications
W. Schellong
11) Improving the Analytical Power of Dynamic DEA Models, by the Consideration of the Shape of the Distribution of Inputs/Outputs Data: A Linear Piecewise Decomposition Approach
Elias K. Maragos, Petros E. Maravelakis
12) Proposition of an Ontology of Diseases and Their Signs from Medical Ontologies Integration
Adama Sow, Abdoulaye Guiss´e, Oumar Niang
13) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
14) Procedure Model for Data-Driven Decision Support Regarding the Integration of Renewable Energies into Industrial Energy Management
M. Graus, K. Westhoff, X. Xu
15) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew

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