December 11, 2017
Comments Off on Privacy-Preserving Outsourced Association Rule Mining on Vertically Partitioned Databases
Posted in: IEEE 2017, NS2
Privacy-Preserving Outsourced Association Rule Mining on Vertically Partitioned Databases Abstract: Association rule mining and frequent itemset mining are two popular and widely studied data analysis techniques for a range of applications. In this paper, we focus on privacy-preserving mining on vertically partitioned databases. In such a scenario, data owners wish to learn the association rules […]
December 11, 2017
Comments Off on Text Mining the Contributors to Rail Accidents
Posted in: IEEE 2017, NS2
Text Mining the Contributors to Rail Accidents Abstract: Rail accidents represent an important safety concern for the transportation industry in many countries. In the 11 years from 2001 to 2012, the U.S. had more than 40 000 rail accidents that cost more than 45million.Whilemostoftheaccidentsduringthisperiodhadverylittlecost,about5200haddamagesinexcessof141 500. To better understand the contributors to these extreme accidents, the Federal […]