Algorithms for Big Data Tobias Mömke

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

 

 



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