30 citations · 43 across the 4 of their papers we have counts for
4 papers
Shed More Light on Bloom Filter's Variants
Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain
Bloom Filter is a probabilistic membership data structure and it is excessively used data structure for membership query. Bloom Filter becomes the predominant data structure in app…
Machine Learning: A Dark Side of Cancer Computing
Ripon Patgiri, Sabuzima Nayak, Tanya Akutota +1
Cancer analysis and prediction is the utmost important research field for well-being of humankind. The Cancer data are analyzed and predicted using machine learning algorithms. Mos…
scaleBF: A High Scalable Membership Filter using 3D Bloom Filter
Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain
Bloom Filter is extensively deployed data structure in various applications and research domain since its inception. Bloom Filter is able to reduce the space consumption in an orde…
Role of Bloom Filter in Big Data Research: A Survey
Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain
Big Data is the most popular emerging trends that becomes a blessing for human kinds and it is the necessity of day-to-day life. For example, Facebook. Every person involves with p…