Monalisa Jena

Fakir Mohan University · Department of Computer Science

In recent years, machine learning (ML) is adopted everywhere in a wide range of massive and complex data-intensive fields like medicine, astronomy, education, biology, etc. The performance increases when it deals with big data. ML algorithms challenged by big data make more accurate and timely predictions and unveil more concrete patterns than ever...

In this work, we propose a faster version of Lazy Learner (i.e., k-nearest neighbor (kNN)) for effective analysis of big data defined by the scientific community of data science. The kernel of this variant is to identify a pool of valid instances with a high degree of discriminatory characteristics. In this method, the size of the pool is a paramet...

This work presents an integrated framework for imputation of missing values and prediction of class label of unseen samples by using the best features of rule based inductive decision tree (DT) and Support Vector Machine (SVM) classifier (DT-SVM). In this work, the decision tree is used for imputation of missing values of the datasets containing bo...

Analysis of consumer reviews posted on social media is found to be essential for several business applications. Consumer reviews posted in social media are increasing at an exponential rate both in terms of number and relevance, which leads to big data. In this paper, a hybrid approach of two deep learning architectures namely Convolutional Neural...

In recent years stock prediction has attracted a lot of attention to the researchers in financial sectors. Apart from the static log data, streaming data has also been proven to be a perennial source of data analysis collected in real-time, which basically deals with the continuous flow of data carrying information from sources like websites, mobil...

Link prediction is a trending research direction in the field of social network analysis due to its vast application especially in the field of network evolution analysis like discovering missing links, identifying positive and negative links etc. It is also used for recommending commodities in e-commerce sites and suggesting friends in online soci...

Community refers to the group of entities which have similar behavior or characteristic among them. Usually community represents basic functional unit of social network. By understanding the behavior of elements in a community, one can predict the overall feature of large scale social network. Social networks are generally represented in the form o...