KLASTERISASI CLV DENGAN MODEL LRFM MENGGUNAKAN ALGORITMA FUZZY C-MEANS (Studi Kasus: Pangeran Gym Pekanbaru)
نویسندگان
چکیده
منابع مشابه
Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi
Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).
متن کاملValidasi data dengan menggunakan objek lookup pada borland delphi 7.0
s: Developing an application with some tables must concern the validation of input (scpecially in Table Child). In order to maximize the accuracy and input data validation. Its called lookup (took data from other dataset). There are 2 (two) ways to lookup data from Table Parent: 1) Using Objects (DBLookupComboBox & DBLookupListBox), or 2) Arranging The Properties Of Fields Data Type (shown by u...
متن کاملAnalisis dan Perancangan Wireless Roaming (Studi Kasus Universitas Baturaja)
Wireless roaming is one way to improve the reliability of a network of hotspots that are still using the topology Basic Service Set (BSS). When the user walks away from one access point (AP) or one AP die then begins to lose the signal, the mobile station (MS) is automatically connected with the AP to another without reconfiguring. Devices that support wireless roaming is the AP TP-Link TL-WR74...
متن کاملHierarchical Alpha-cut Fuzzy C-means, Fuzzy ARTMAP and Cox Regression Model for Customer Churn Prediction
As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...
متن کاملGeneralized Fuzzy Clustering Model with Fuzzy C-Means
This paper extends the traditional Fuzzy C-Means clustering method to a generalized fuzzy clustering model. According to most applications, this fuzzy clustering model briefly includes 3 parts: feature extractor transfers original objects information to desired feature data; fuzzy cluster analyzer gets cluster information from the feature data; and post treatment obtains the final results based...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi
سال: 2020
ISSN: 2502-8995,2460-8181
DOI: 10.24014/rmsi.v6i1.8535