Incremental learning from unbalanced data with concept class, concept drift and missing features: a review

P Kulkarni, R Ade - International Journal of Data Mining & …, 2014 - search.proquest.com
Recently, stream data mining applications has drawn vital attention from several research
communities. Stream data is continuous form of data which is distinguished by its online …

A rule-based approach to embedding techniques for text document classification

AM Aubaid, A Mishra - Applied Sciences, 2020 - mdpi.com
With the growth of online information and sudden expansion in the number of electronic
documents provided on websites and in electronic libraries, there is difficulty in categorizing …

An incremental ensemble of classifiers as a technique for prediction of student's career choice

R Ade, PR Deshmukh - 2014 First International Conference on …, 2014 - ieeexplore.ieee.org
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks and the result …

Logistic regression learning model for handling concept drift with unbalanced data in credit card fraud detection system

P Kulkarni, R Ade - Proceedings of the Second International Conference …, 2016 - Springer
Credit card is the well-accepted manner of remission in financial field. With the rising
number of users across the globe, risks on usage of credit card have also been increased …

Efficient knowledge transformation system using pair of classifiers for prediction of students career choice

R Ade, PR Deshmukh - Procedia Computer Science, 2015 - Elsevier
The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks in …

Classification of students by using an incremental ensemble of classifiers

R Ade, PR Deshmukh - Proceedings of 3rd International …, 2014 - ieeexplore.ieee.org
The amount of students data in the education system databases is growing day by day, so
the knowledge taken out from these data need to be updated continuously. The training set …

[PDF][PDF] Instance-based vs batch-based incremental learning approach for students classification

R Ade, PR Deshmukh - International Journal of Computer Applications, 2014 - Citeseer
It is difficult to find the hidden information in the educational database system, because of
the rapid increase of the student's data. The hidden information from the educational …

Text Classification Using Naive Bayes Updateable Algorithm In SBMPTN Test Questions

R Saptono, ME Sulistyo… - … : Jurnal Informatika dan …, 2016 - 103.236.192.98
Document classification is a growing interest in the research of text mining. Classification
can be done based on the topics, languages, and so on. This study was conducted to …

Student Career Prediction Using Algorithms Of Machine Learning

A Sinha, A Singh - … Using Algorithms Of Machine Learning (May …, 2023 - papers.ssrn.com
In this day and age, choosing a career is hard work. Most students do not understand the
concept of work from the early stages of their lives because they lack the development and …

Efficient knowledge transformation for incremental learning and detection of new concept class in students classification system

R Ade, P Deshmukh - … Design and Intelligent Applications: Proceedings of …, 2015 - Springer
The efficient knowledge transformation with the concept class detection is an important
challenge for the incremental learning system, where the student's data is flowing …