Results 41 to 50 of about 11,067 (306)

K-Means Clustering Method For Customer Segmentation Based On Potential Purchases

Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
The rapid growth in customer data has driven companies to develop smarter and more effective marketing strategies. One efficient approach is customer segmentation, which involves dividing a market or group of customers into smaller segments based on ...
Baiq Nikum Yulisasih, Herman Herman, Sunardi Sunardi   +2 more
doaj   +1 more source

CUSTOMER SUPER-PROFILING DEMONSTRATOR TO ENABLE EFFICIENT TARGETING IN MARKETING CAMPAIGNS

South African Journal of Industrial Engineering, 2017
Difficulties lie with identifying the right customers to engage in successful marketing campaigns. Thus far, segmentation has been a popular marketing method for selecting customer groups for targeted campaigns.
Walters, Marisa , Bekker, James
doaj   +1 more source

A Customer Profiling Methodology for Churn Prediction [PDF]

, 2008
As markets have become increasingly saturated, companies have acknowledged that their business strategies need to focus on identifying those customers who are most likely to churn. To address this, a method is required that can identify these customers,
Hadden, John
core  

TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain

Advanced Science, EarlyView.
TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando, Emanuele Buratti, Francesca Paron   +2 more
wiley   +1 more source

An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior

Computers in Human Behavior Reports
In today's highly competitive market, organizations face significant challenges in accurately understanding and segmenting customer behavior due to the inherently dynamic and evolving nature of customer interactions over time.
Hodjat (Hojatollah) Hamidi, Bahare Haghi
doaj   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Customer Segmentation Using an Extended RFM Model and Clustering Algorithms in E-Commerce

Journal of Theoretical and Applied Electronic Commerce Research
Customer segmentation is a critical step in the efficient utilization of customer data and maximization of profitability in the e-commerce sector.
Tuncay Ozcan
doaj   +1 more source

Aplikasi Analisis Segmentasi Pelanggan untuk Menentukan Strategi Pemasaran Menggunakan Kombinasi Metode K-Means dan Model RFM

Sistemasi: Jurnal Sistem Informasi, 2021
Abstrak Selain harus bersaing dengan dealer lain, kenjeran Auto2000 juga harus bersaing dengan cabang Auto2000 lainnya. Salah satu strategi yang digunakan untuk memenangkan persaingan adalah melalui penerapan segmentasi pelanggan.
Ahmad Febri, Norma Ningsih, Julianto Lemantara   +2 more
doaj   +1 more source

Why Didn't I Get a Payout? Understanding Farmer Choices, Index Insurance, and Basis Risk

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Index insurance, while heralded as a potential solution to alleviate poverty and food insecurity among agricultural households, has its own set of challenges, notably basis risk. Basis risk is the discrepancy between the insurance payout and losses incurred, posing a significant deterrent to the adoption of index insurance.
S. Lucille Blakeley, Sean Posey, Kathy Baylis, Daniel Osgood, Stuart Sweeney   +4 more
wiley   +1 more source

Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria [PDF]

E3S Web of Conferences
The company’s approach to customers is important to maintain the company’s profits. Understanding the differences of each customer is very important so that we can understand customer needs based on customer data.
Fitrianti Fahrudin Nur, Rindiyani Rini
doaj   +1 more source