clustering technique is one of the most important techniques of data mining and is the branch of multivariate statistical analysis and a method for grouping similar data in to same clusters. with the databases getting bigger, the researchers try to find efficient and effective clustering methods so that they can make fast and real decisions. thus, in this paper, we proposed an improved ant syst...

This study presents a data mining analysis of customer forecasting patterns of multiple customers (auto manufacturers) from a large auto parts supplier. We consider a manufacturing environment in which forecasts of future orders are used as inputs for a series of decisions. We define the complexities that are captured from our data set, developing the daily flow analysis to obtain accuracy rati...

In order to provide different services for the customers, banks embark on a multimedia contact center. Considering that, in this center, where several services such as transferring money, getting statement information and asking for check books are provided, the authentication is of high importance. How to allocate the appropriate authentication method for each customer is one of the challe...

The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeat...

Avana Indonesia is a social commerce startup headquartered in Malaysia. Wanting to expand their business and enter the Indonesian market, they still don't have best marketing strategy place, so service sales deal not enough. That's why we need that focuses on customers with customer relationship management, one of which segmentation. Customer segmentation can be done by implementing data mining...

The explosion of customer data in the last twenty years has increased the need for data mining aimed at customer relationship management (CRM) and understanding the customer. It is well known that the telecom sector consists of customers with a wide array of customer behaviors. These customers pose different risks, making it imperative to implement different treatment strategies to maximize sha...

In today’s competitive climate, customer relationship management (CRM) has become an essential component in airline business strategies. CRM in the airline industry would be based on analyzing customer data in order to understand preferences and behavior. In this paper, we apply data mining techniques to real airline frequent flyer data in order to derive CRM recommendations and strategies. Clu...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...