Process Mining to Predict Type of Customer Behavior
C. Nalini, Ragavi K1, Dileep Kumar Padidem2
1C. Nalini, Professor, Department of CSE, Bharath University. Chennai (Tamil Nadu), India.
2Ragavi.k, Department of CSE, Bharath University. Chennai (Tamil Nadu), India.
3Dr. Dileep Kumar, Professor, Department of CSE, Chadalawada Ramanamma Engineering College. Tirupati, (Andhra Pradesh), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1243-1247 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7590068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of process mining implement is firstly to discover the typical customer fulfillment business process-process mining act as a bridge between data mining and web mining. Process mining in an active innovative research area in recent year. The goal is to be extract process –related information from the event log by observing events recorded by some of the information system using the click stream method. Finally we are classifying the different categories of customer behavior using weka tool after we applied the knowledge miner. The result provides to find the different type of customer and their behavior and its helps the company to improve the product and satisfied customer needs.
Keywords: Data mining, Naïve bayes, IBK, J48
Scope of the Article: Data mining