Big Data Analytics & Knowledge Discovery
Knowledge discovery in database (KDD) aims at finding meaningful and useful information from the amounts of mass data; frequent itemset mining (FIM) [7] and association rule mining (ARM)
SOUTH ASIA HYDROMET FORUM
Program to Support South Asia Regional Development in Operational Forecasting and Service Delivery
Knowledge discovery in database (KDD) aims at finding meaningful and useful information from the amounts of mass data; frequent itemset mining (FIM) [7] and association rule mining (ARM)
Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) 2nd Floor, Outreach Building Asian Institute of Technology Campus 58 Moo 9 Paholyothin Road, Klong Nueng Klong Luang, Pathumthani 12120 Thailand
Tel: +66 25165900 to 01
Email:sahfhydromet@gmail.com
Website: www.rimes.int