A Research Study: Using Data Mining in Knowledge Base Business Strategies

2006 ◽  
Vol 5 (3) ◽  
pp. 590-600 ◽  
Author(s):  
N. Girija ◽  
S.K. Srivatsa
Keyword(s):  
Data Mining ◽  
Knowledge Base ◽  
Research Study ◽  
Business Strategies ◽  
Using Data

scholarly journals A SURVEY ON RURAL SCHOOL STUDENTS EDUCATION PERFORMANCE USING DATA MINING TECHNIQUES

2021 ◽  
pp. 209-212
Author(s):  
Suresh Solomon. G ◽  
Nancy Jasmine Goldina
Keyword(s):  
Data Mining ◽  
Rural Areas ◽  
Urban Areas ◽  
Research Study ◽  
Rural School ◽  
Vital Role ◽  
School Students ◽  
And Performance ◽  
Using Data ◽  
Education Performance

In India there exists a lot of Rural areas in which the educational performance of the rural school students are inferior when compared it to the performance of the urban areas due to the lack of facilities, environment, income, employment opportunities and exposure. Equality is one among the basic principle of our country, so it’s a mere responsibility of any research study to perform a detailed analysis towards the performance of rural school students by focusing on to the factors to be monitored and improved so that the Rural areas also raise to the equilant level of competition with the Urban areas. For this goal Data mining plays a vital role in order to handle the data in proper way for analysis and prediction of performances for the improvement of rural school student’s education domain results. This paper presents a survey on Data Mining strategies used for prediction and performance analysis of rural school students education improvements. KEYWORDS—Data Mining, Rural, Urban, Prediction, Performance

scholarly journals Unearthing Top 3 Business Strategies using Data Mining Techniques

2015 ◽  
Vol 118 (22) ◽  
pp. 37-42
Author(s):  
Khalid MehmoodIraqi ◽  
Huda Yasin ◽  
Mohsin Mohammad Yasin
Keyword(s):  
Data Mining ◽  
Business Strategies ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Towards the Analysis and Prediction of Early Childhood Development Using Data Mining Classification Techniques

2020 ◽  
Vol 26 (1) ◽  
pp. 51-54
Author(s):  
I. Aimufua ◽  
◽  
S Rakshit ◽  
N.R. Vajjhala ◽  
O.B. Longe
Keyword(s):  
Data Mining ◽  
Early Childhood ◽  
Early Childhood Development ◽  
Childhood Development ◽  
Business Strategies ◽  
Data Repositories ◽  
Classification Techniques ◽  
Massive Growth ◽  
Use Of Technology ◽  
Using Data

In recent years, the use of technology in almost every sector has been on the increase, which has lead to massive growth in the generation and usage of data. Medical, Business and other leading industries have surveyed and noted that data repositories will be a useful tool in the designing of business strategies, analyzing of unstructured and structure data in other to gain useful knowledge. Keywords: Early Childhood Development Analysis and Prediction Using Data Mining Classification Techniques

A Study on Detection of Small Size Malicious Code using Data Mining Method

2019 ◽  
Vol 19 (1) ◽  
pp. 11-17
Author(s):  
Taek-Hyun Lee ◽  
◽  
Ho Kook Kwang
Keyword(s):  
Data Mining ◽  
Malicious Code ◽  
Mining Method ◽  
Data Mining Method ◽  
Using Data

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. 

Perancangan Aplikasi Prediksi Kelulusan Tepat Waktu Bagi Mahasiswa Baru Dengan Teknik Data Mining (Studi Kasus: Data Akademik Mahasiswa STMIK Dipanegara Makassar)

2015 ◽  
Vol 1 (4) ◽  
pp. 270
Author(s):  
Muhammad Syukri Mustafa ◽  
I. Wayan Simpen
Keyword(s):  
Data Mining ◽  
Nearest Neighbor ◽  
Test Results ◽  
K Nearest Neighbor ◽  
Accuracy Rate ◽  
Sample Data ◽  
New Students ◽  
K Nearest Neighbor Algorithm ◽  
Using Data ◽  
Existing Data

Penelitian ini dimaksudkan untuk melakukan prediksi terhadap kemungkian mahasiswa baru dapat menyelesaikan studi tepat waktu dengan menggunakan analisis data mining untuk menggali tumpukan histori data dengan menggunakan algoritma K-Nearest Neighbor (KNN). Aplikasi yang dihasilkan pada penelitian ini akan menggunakan berbagai atribut yang klasifikasikan dalam suatu data mining antara lain nilai ujian nasional (UN), asal sekolah/ daerah, jenis kelamin, pekerjaan dan penghasilan orang tua, jumlah bersaudara, dan lain-lain sehingga dengan menerapkan analysis KNN dapat dilakukan suatu prediksi berdasarkan kedekatan histori data yang ada dengan data yang baru, apakah mahasiswa tersebut berpeluang untuk menyelesaikan studi tepat waktu atau tidak. Dari hasil pengujian dengan menerapkan algoritma KNN dan menggunakan data sampel alumni tahun wisuda 2004 s.d. 2010 untuk kasus lama dan data alumni tahun wisuda 2011 untuk kasus baru diperoleh tingkat akurasi sebesar 83,36%.This research is intended to predict the possibility of new students time to complete studies using data mining analysis to explore the history stack data using K-Nearest Neighbor algorithm (KNN). Applications generated in this study will use a variety of attributes in a data mining classified among other Ujian Nasional scores (UN), the origin of the school / area, gender, occupation and income of parents, number of siblings, and others that by applying the analysis KNN can do a prediction based on historical proximity of existing data with new data, whether the student is likely to complete the study on time or not. From the test results by applying the KNN algorithm and uses sample data alumnus graduation year 2004 s.d 2010 for the case of a long and alumni data graduation year 2011 for new cases obtained accuracy rate of 83.36%.

Forecasting Automobile Retail Sales Using Data Mining The Case of Ranchi, Jharkhand, India

2018 ◽  
Vol 6 (9) ◽  
pp. 572-574
Author(s):  
Gyaneshwar Mahto ◽  
Umesh Prasad ◽  
Rajiv Kumar Dwivedi
Keyword(s):  
Data Mining ◽  
Retail Sales ◽  
Using Data
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