Educational Data Mining
Data mining methods and techniques are applied to educationally related data as part of the burgeoning field known as educational data mining (EDM). Education data mining is the name of an emerging multidisciplinary research field that applies data mining…
Survey on Fruit Disease Identification in Agriculture Using Data Mining
Rathamani, M.; Kanjana Devi, P.
The field of agriculture needs to manage a lot of data and processing and recovery of significant data from this abundance of agricultural information is necessary to support the farmers. In this way, proper strategies and techniques are required for…
Analysis and Survey on Fruit Disease Identification in Agriculture Using Data Mining
Rathamani, M.; Kanjana Devi, P.
…will be extremely valuable for the farmers to detect the disease in beginning time. Data mining is the process of discovering and extracting of intriguing patterns and knowledge from a lot of data. There are various data mining strategies to anticipate the…
A Review on Datamining in Agriculture
In this paper the makers present irrefutably the most used data mining strategies in the field of agriculture. A bit of these strategies, for example, the k-means, the k nearest neighbor, artificial neural networks and support vector machines, are talked…
Enhanced Back Propagation Neural Network for Fruit Disease Prediction and Classification
Rathamani, M.; Kanjana Devi, P.
Data mining assumes an essential part in the dynamic cycle in numerous application territories. Information mining is essential for data handling and the executives. Plant sicknesses bargain efficiency which impacts public activity and economy of the country.…
Hybrid Artificial Neural Network and Case Based Reasoning (Hanncbr) Classification Model for Classification of Agriculture Data in Different Area
…The advances in computing and information storage have given tremendous measures of data. The test has been to remove knowledge from this raw data that has lead to new strategies and techniques, for example, data mining that can connect the knowledge gap.…
A Smart Agricultural Model by Integrating IoT, Mobile and Cloud Based Big Data Analytics
Rathamani, M.; Lakshmanaprakash, S.
Currently, the standard database paradigm would not have ample storehouse for the facts produced by means of Internet of Effects(IoT) bias leads to the want of pall storehouse. These data’s are anatomized with the assist of BigData mining ways. Pall grounded…
A Survey on Datamining in Agriculture
…can hurt the vegetation and diminish the yield. This paper gives audit of different data mining procedures utilized on agriculture soil dataset for compost suggestion. Basically I zeroed in on different soil boundaries like Fe, S, Zn, Cu, N and Ph esteem…
Data Preprocessing Using Enhanced Principal Component Analysis (EPCA) for Agricultural Datasets
Data pre-processing is considered as the core stage in core and data mining. Standardization, discretization, and dimensionality decrease are notable strategies in data pre-processing. In this paper proposed Enhanced Principal component Analysis (EPCA) the…
Analysis of Heart Diseases Dataset Using Neural Network Approach
One of the important techniques of Data mining is Classification. Many real-world problems in various fields such as business, science, industry and medicine can be solved by using classification approach. Neural Networks have emerged as an important tool for…
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