Program
1st Saarland University Seminar on
Theory and Application of Algorithms for Big Data
Date: 06 March 2020
Venue:
Saarland University, Saarland Informatics Campus
Building E1 3, Room 528
Reception: 9:00 - 9:30
Session 1: 9:30 - 11:30
9:30 - 10:00
Lukas Schmitz. Summary of Graph Stream Algorithms: A Survey
10:00 - 10:30
Elena Kosheleva. Sketching and Streaming Algorithms for Processing Massive Data
10:30 - 11:00
Corinna Schäfer. Variants and Applications of the Bloom Filter
11:00 - 11:30
Kevin Martin Jose. Probabilistic Counting: An Overview
Lunch: 11:30 - 12:30
Session 2: 12:30 - 14:30
12:30 - 13:00
Mischa Breit. Principal Component Analysis
13:00 - 13:30
Abraham Obinwannne. Simple and Deterministic Matrix Sketching
13:30 - 14:00
Yuhan Ye. The application of principal component analysis (PCA) to drug discovery and biomedical data
14:00 - 14:30
Tom Fischer. Sublinear-time Algorithms
Coffee Break: 14:30 - 15:00
Session 3: 15:00 - 17:00
15:00 - 15:30
Md Jonybul Islam. The global k-means clustering algorithm
15:30 - 16:00
Nicolas Schäfer. Bigtable: A Distributed Storage System for Structured Data
16:00 - 16:30
Soumya Ranjan Sahoo. Self-organizing map in Big Data Analytics
16:30 - 17:00
Thorsten Willems. Review of Google's MapReduce programming model - Revisited