Mining Sequential Patterns with Consideration of Recency, Frequency, and Monetary
碩士 === 國立中正大學 === 資訊管理學系暨研究所 === 99 === For superior decision making, the mining of interesting patterns and rules becomes one of the most indispensible tasks in today’s business environment. Although there have been many successful customer relationship management (CRM) applications based on sequen...
Main Authors: | Kao, Yu-Hua, 高鈺華 |
---|---|
Other Authors: | Hu, Ya-Han |
Format: | Others |
Language: | en_US |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/79664642210952627737 |
Similar Items
-
En fallstudie om kundlojalitet med Recency-Frequency-Monetary-modeller
by: Glamheden, Niklas, et al.
Published: (2004) -
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data
by: Iqbal H. Sarker, et al.
Published: (2019-06-01) -
Feedback-Based Eco-Design for Integrating the Recency, Frequency, and Monetary Value of Eco-Efficiency into Sustainability Management
by: Rui Yang Chen
Published: (2016-09-01) -
Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model
by: Novianti Puspitasari, et al.
Published: (2020-04-01) -
Mining Sequential Interaction Patterns in Social Networks
by: Cheng-Li Kao, et al.
Published: (2011)