IndiHome (Indonesia Digital Home) is a leading digital fibre optic service product consisting of internet services, landline telephones, and interactive TV services. Although the coverage Indihome products extensive in city Medan, marketing, have not reached planned target. Based on data from package users that been received, only numbered 6419 customers all STOs Medan City. At same time, targe...

Text mining is a powerful modern technique used to obtain interesting information from huge datasets. clustering distinguish between documents that have the same themes or topics. The absence of datasets ground truth enforces use (unsupervised learning) rather than others, such as classification (supervised learning). “no free lunch” (NFL) theorem supposed no algorithm outperformed other in var...

In this paper, a subtractive relational fuzzy c-medoids clustering approach is discussed to identify web user session clusters from weblogs, based on their browsing behavior. In this approach, the internal arrangement of data along with the density of pairwise dissimilarity values is favored over arbitrary starting estimations of medoids as done in the conventional relational fuzzy c-medoids al...

Usually used approaches for non-hierarchical clustering of data are well known k-means or k-medoids methods. However, these fundamental methods are poorly applicable in situations where number of clusters is almost unpredictable. Formerly, they were adapted to allow splitting and merging when some defined criterion is met. On the other hand there are also methods based on artificial neural netw...

Aim of the paper is to propose a segmentation technique based on the Bagged Clustering (BC) method. In the partitioning step of the BC method, B bootstrap samples with replacement are generated by drawing from the original sample. The Fuzzy C–Medoids Clustering (FCMdC) method is run on each bootstrap sample, obtaining (B×C) medoids and the membership degrees of each unit to the different cluste...

Diarrhea is an endemic disease that contributes to the high mortality rate in Indonesia, especially among children under five. The Kuningan District Health Office had difficulties monitoring and supervising spread of diarrheal diseases. This study aims produce a mapping scheme priority areas handling prevention control five Regency. method used Data Mining Clustering by comparing two algorithms...

This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We prop...

In this paper we propose an online approximate k-nn graph building algorithm, which is able to quickly update a k-nn graph using a flow of data points. One very important step of the algorithm consists in using the current distributed graph to search for the neighbors of a new node. Hence we also propose a distributed partitioning method based on balanced k-medoids clustering, that we use to op...

Text classification is an important research problem in many fields. We examine a special case of textual content namely, short text. Examples of short text appear in a number of contexts such as online reviews, chat messages, twitter feeds, etc. In this research, we examine short text for the purpose of classification in internet auctions. The “ask seller a question” forum of a large horizonta...

We have developed a text summarization system that can generate summaries over time from web crawls on disasters. We show that our method of identifying exemplar sentences for a summary using affinity propagation clustering produces better summaries than clustering based on K-medoids as measured using Rouge on a small set of examples. A key component of our approach is the prediction of salient...