W E L C O M EInterest Group Big Data Analytics

Co-chairs Morris Riedel, Kuo Kwo-Sen, Peter Baumann

Scientific Big Data Analytics

Classification++

Regression++Clustering++

Serial Algorithms for Large Volumes of Data Exist ‘Big Data‘ Requires Parallel Algorithms and Open Availability

MLlib

Scientific Big Data Analytics

„Reference Data Analytics“for reusability & learning

CRISP-DM

Report

OpenlyShared

Datasets

RunningAnalytics

Code

Big Data Analytics IGBig Data Infrastructure WG

Towards Systematic Data Analytics

Guided by the Cross Industry Standard Process for Data Mining (CRISP-DM) Phases

‘Building a UCI Repository for Big Data Analytics‘

Scientific Big Data Analytics

Sattelite Data

Parallel Support VectorMachines (SVM)

HPC/MPI, Map-Reduce & GPGPUs

ClassificationStudy of

Land CoverTypes

„Reference Data Analytics“for reusability & learning

CRISP-DM

Report

OpenlyShared

Datasets

RunningAnalytics

Code

‘Best Practices‘

Community-based practice

ParallelBrain DataAnalytics

(Quickbird)

Big Data Analytics IGBig Data Infrastructure WG

Classification++

G. Cavallaro and M. Riedel, ‘Smart Data Analytics Methods for Remote Sensing Applications‘, IGARSS 2014

Results Example