S Ramakrishna's scientific contributions
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Publications (7)
The process of grouping a set of physical or intangible objects into classes of similar objects is called clustering. A cluster is a group of data objects that are related to one another within the similar cluster and are dissimilar to the objects in other clusters. It is suitable method for the innovation of data distribution and patterns the fund...
Data mining has evolved into a vital and active area of research because of theoretical challenges and realistic applications related with the problem of discovering interesting and previously unknown knowledge from very big real-world databases. Several aspects of data mining have been investigated in several related fields. This paper proposes on...
Conventional way of business is a challenging in car market due to many competitors are there around the world for providing competitive products. The car manufacturers categorizes the car users and have to invent a suitable car; the seller correctly groups the buyers and he sells a right car; and the customers selects best car by analyzing more br...
Data mining has evolved into a vital and active area of research because of the speculative challenges and practical applications related with the problem of discovering interesting and previously unknown knowledge from very big real-world databases. Several aspects of data mining have been investigated in several related fields. Although the datab...
Now a day"s customers are required comfort and their loving brand & color. With the arrival of the Internet and Data Mining Algorithms has definitely contributed to the altar of marketing focus. Here, we proposed Improved ID3 algorithm for best car market analysis. We are executed the similar in Weka Tool with Java code. We have analyzed the graphi...
Citations
... J48 correctly classified 34 instances and incorrectly classified 10 instances Table 4. Here, Kappa statistics become nearest 0.6866 Table 5 for training data set. However, Kappa has a range between -1 and 1, where -1 is total misclassification and 1 is 100% accurate classification [41]. J48 performance analysis using testing data set is evaluated and from 10 data instances, J48 correctly classified 8 instances and incorrectly classified 2 instances ( Table 4). ...
... Clustering is one of the most common untested data mining methods that explore the hidden structures embedded in a dataset. Clustering is the method of making group of objects into classes of similar objects [6,10]. A cluster of data objects can be treated as one group. ...
... Bottom-up algorithms are treated as a pair of clusters which are merged until all clusters are merged into a single cluster which contains all documents. Hierarchical agglomerative clustering is more commonly used in information retrieval than top-down clustering [24,25]. ...
