activity
20132023
most citedPredicting the direction of stock market prices using random forest

115 citations · 204 across the 30 of their papers we have counts for

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Showing cs.DLShow all

7 papers · 1 filter

cs.DL2018

Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area

Poulami Sarkar, Snehanshu Saha, Archana Mathur +4

A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting its niche prominence.…

cs.DL2018

Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals

Gouri Ginde, Snehanshu Saha, Archana Mathur +3

Visualization of the massive data is a challenging endeavor. Extracting data and providing graphical representations can aid in its effective utilization in terms of interpretation…

cs.DL2018

Model Visualization in understanding rapid growth of a journal in an emerging area

Snehanshu Saha, Poulami Sarkar, Archana Mathur +1

A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting the niche prominence o…

cs.DL2018

Genealogy tree: understanding academic lineage of authors via algorithmic and visual analysis

Sandra Anil, Abu Kurian, Sudeepa Roy Dey +2

Ancestry and genealogy tree are proven tools to determine the lineage of any person and establish dependencies among individuals. Genealogy tree can be exploited further to gain in…

cs.DL2016

ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms

Gouri Ginde, Snehanshu Saha, Archana Mathur +4

Defining and measuring internationality as a function of influence diffusion of scientific journals is an open problem. There exists no metric to rank journals based on the extent…

cs.DL2016

DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach

Snehanshu Saha, Neelam Jangid, Archana Mathur +1

The evaluation of journals based on their influence is of interest for numerous reasons. Various methods of computing a score have been proposed for measuring the scientific influe…

cs.DL2015

Journal rank in the Science and Technology domain: A lightweight quantitative approach for evaluation

Snehanshu Saha, Neelam Jangid, Anand MN +1

The evaluation of journals based on their influence is of interest for numerous reasons. Various methods of computing a score have been proposed for measuring the scientific influe…