Browse By Person: Emerson, Daniel
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Number of items: 8.
Nayak, Richi, Emerson, Daniel, Weligamage, Justin, & Piyatrapoomi, Noppadol (2010) Using data mining on road asset management data in analysing road crashes. In 16th annual TMR Engineering & Technology Forum, 3-5 August 2010, Brisbane, Qld.
Emerson, Daniel, Nayak, Richi, & Weligamage, Justin (2011) Using data mining to predict road crash count with a focus on skid resistance values. In 3rd International Road Surface Friction Conference, 15-18 May, 2011, Gold Coast, Queensland, Australia.
Nayak, Richi, Emerson, Daniel, Weligamage, Justin, & Piyatrapoomi, Noppadol (2011) Road crash proneness prediction using data mining. In Ailamaki, Anastasia & Amer-Yahia , Sihem (Eds.) Proceedings of the 14th International Conference on Extending Database Technology, Association for Computing Machinery (ACM), Uppsala, Sweden., pp. 521-526.
Emerson, Daniel, Nayak, Richi, & Weligamage, Justin (2011) Identifying differences in safe roads and crash prone roads using clustering data mining. In Engineering Asset Management 2011: Proceedings of the Sixth Annual World Congress on Engineering Asset Management [Lecture Notes in Mechanical Engineering], Duke Energy Center, Cincinatti, Ohio.
Emerson, Daniel (2013) A data mining driven crash risk profiling method for road asset management. Masters by Research thesis, Queensland University of Technology.
Emerson, Daniel, Weligamage , Justin Z., & Nayak, Richi (2013) A data mining driven risk profiling method for road asset management. In Dhillon, Inderjit S. & Koren, Yehuda (Eds.) Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Digital Library, Chicago, Illinois, The United States of America, pp. 1267-1275.
Emerson, Daniel, Nayak, Richi, & Weligamage, Justin (2014) Data mining the relationship between road crash and skid resistance. Lecture Notes in Mechanical Engineering, 2015, pp. 229-240.
Chen, Lin, Emerson, Daniel, & Nayak, Richi (2014) A novel process of group-oriented question reduction for rule-based recommendation websites. In Christen, Peter & Kennedy, Paul (Eds.) Data Mining and Analytics 2013: Proceedings of the 11th Australasian Data Mining Conference, AusDM 2013 [Conferences in Research and Practice in Information Technology, Volume 146], Australian Computer Society Inc., Australian National University, Canberra, ACT, pp. 173-180.