scholarly journals An Analysis on Finding the Influencing Factors of Supporting for the “GiveitUp” LPG Subsidy for the Government using Data Mining Techniques

2016 ◽  
Vol 143 (5) ◽  
pp. 34-39
Author(s):  
K. Chitra ◽  
S. Prakasam
Keyword(s):  
Data Mining ◽  
Influencing Factors ◽  
Data Mining Techniques ◽  
The Government ◽  
Using Data

scholarly journals Cancer Diagnosis with Improved Particle Swarm Optimization Algorithm (Hilla Hospital – Iraq) Case Study

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Zahraa Modher Nabat ◽  
Shaymaa Abdul Hussein Shnain ◽  
Baydaa Jaffer Al Khafaji ◽  
May A. Salih
Keyword(s):  
Data Mining ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Data Mining Techniques ◽  
Improved Particle Swarm Optimization ◽  
The Government ◽  
Using Data

Today, with the improvement and development of technology, hospitals and medical centers produce large amounts of medical data. Given the enormous costs of healthcare services for patients and the government, this data can be used to save on treatment costs using data analysis. Since data mining is a technique to find new knowledge from databases, data mining techniques play an important role in finding and extracting knowledge to contribute to an effective diagnosis of diseases and provision of better medical care and services. In today’s world, due to the high incidence of cancer and its high mortality rate, early diagnosis of this disease is of great interest. In this paper, we tried using data mining techniques such as classification and improved particle swarm optimization algorithm to detect cancer types in the shortest time, with more details, and provide them to the physician.

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ewin Karman Nduru ◽  
Efori Buulolo ◽  
Pristiwanto Pristiwanto
Keyword(s):  
High School ◽  
Data Mining ◽  
High School Students ◽  
Marketing Strategy ◽  
Process Data ◽  
School Students ◽  
The North ◽  
The Government ◽  
Using Data ◽  
North Sumatra

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.

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