Survey on Data Mining Classification Techniques to Predict Diabetes
Journal Title: Elysium Journal of Engineering Research and Management - Year 2017, Vol 4, Issue 4
Abstract
This paper surveys on Data mining classification methods on CPCSSN dataset to etect diabetes. Data mining serves as the main application area to derive meaningful information from the humongous data that is accessible everywhere. After extracting this information, we require to classify the future data based on the properties learnt from the old data. Machine learning processes are the greatest prevalently used technique to attain this. In this paper we will discuss about three major classification algorithms: J48 Decision tree, Bagging Aggregation and Ada boost. We would be looking into the pros and cons of using each of these for classifying data. Also some analysis based on the experiment performed and their respective results will be discussed along the paper.
Authors and Affiliations
Sathya Chandrasekaran, Dharmarajan K
Keywords
Related Articles
- EP ID EP363050
- DOI -
- Views 92
- Downloads 1
COMPARATIVE ANALYSIS OF HANDOFF TECHNIQUES USING RESPONSE SURFACE ALGORITHM
Handoff is one of the most challenging topic for the next-generation wireless network. In this paper, the handoff techniques are compared by using the five parameters such as Bandwidth, Network latency,...
HIGHLY ACCURATE RECOGNITION OF BODY MASS INDEX AND HUMAN DIABETICS THROUGH SENSORS
Monitoring of diabetics and BMI (Body Mass Index) is used in many medical field and research applications. This paper suggests a method for performing highly accurate recognition of pressure, sugar, he...
PRIVACY POLICY FOR IMAGES IN SOCIAL NETWORK
Content sharing images within online content sharing sites, may quickly lead to unwanted disclosure and privacy violations. Further, the persistent nature of online media makes it possible for other users to...
SURVEY ON EFFICIENT AND ENHANCED RESOURCE ALLOCATION FOR WORKFLOW IN CLOUD COMPUTING
Cloud computing is delivery of services over internet that shares the resources on demand. Resources utility can be increased or decreased as per demand. Cloud computing offer users to pay only for w...
IMPLEMENTATION OF HIGHLY SECURED H.264/AVC BIT-STREAMS USING CORRELATED MOTION (CM) ESTIMATION FOR HIGH VIDEO QUALITY OF SERVICE (QOS)
Quality of Service (QoS) is the important criteria in the video processing in H.264/AVC Bit-streams. In this paper, the encryption based bit streams transmitted to improve the security of the bit strea...