… This paper describes the different classification algorithms used for analysis. Here, one
can consider the Hoeffding Tree; it is best suited algorithm for accuracy purpose. …

… Each algorithm has its own capabilities and key focus to avert challenges of streaming data
mining. Some of the available streaming data classification algorithms along with their key …

… Analysis. In this paper we have focused on various classification methods used in stream
data mining. … Following table gives a comparative study of various classification techniques for …

… mining etc. techniques; the special focus of this paper is on classification methods invented
to handle data streams. … [13] PZ Wenyu Zang, Chuan Zhou & Li Guo, "Comparative study …

… Educational Data mining is a … six algorithms J48 (Decision Tree),Random Forest ,Naive
Bayes, Naive Bayes Multinomial, K-star, IBk. In the comparative study of all these algorithms …

… data stream methods and algorithms are reviewed and evaluated on standard synthetic data
streams and real-life data streams… algorithms are discussed and comparative analysis in …

… , we studied the different techniques of data stream mining. Next, we discuss the different
clustering and classification … Then we examine the evaluation of different data stream mining …

… In this paper we have focused on stream data only which is an ordered … data & stream data
is that traditional data is stored at some location & is fixed in nature, whereas the stream data …

… comparative study consists of the following steps. First, we extracted the list of main stream
processing tools as they play a key role in gaining valuable knowledge from massive data. …

… All the data are considered for training purpose and it is used in the seven classification
algorithm, this paper presents the analysis and accuracy of data mining algorithms for various …