Open AccessSimilarity Approach Based to Customer Behavior for Trade Business Metrics
Author(s) -
Marischa Elveny,
Mahyuddin K. M. Nasution,
Muhammad Zarlis,
Elviawaty Muisa Zamzami
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1641/1/012053
Subject(s) - similarity (geometry) , computer science , data mining , weighting , process (computing) , object (grammar) , set (abstract data type) , information retrieval , simple (philosophy) , similarity measure , measure (data warehouse) , base (topology) , artificial intelligence , mathematics , image (mathematics) , medicine , mathematical analysis , philosophy , epistemology , radiology , programming language , operating system
Data mining is a process of mining data in very large amounts of data. The purpose of this data mining is to extract and identify data for the sake of certain information related to a large database. To find user behavior based on competing merchants, the similarity of several objects is needed. Similarity involves the process of characterizing each object or describing in detail the features of the object. In the process it produces the naming and weighting of the characteristics of objects so as to provide a way to measure their similarity. The way is determined by placing a comparison of what is the same and what is different from the two objects. The results achieved in the form of similarity methods to look for customer behavior in a competitive merchant. The purpose of this study is set out in a simple knowledge base in the form of information to find relationships and models. With this research it is expected to produce new standard models and paradigms that can be used in accordance with the needs of industry and society.