project examples - ethz.ch · Project Examples Some possible application areas for data science Each area provides opportunities for several projects We show you possible areas but

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Evangelos Pournaras, Izabela Moise

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Project Examples

Evangelos Pournaras 17.12.2015


Success Stories


Success Stories


Project Examples

Human activity recognition

Polarization, conflicts and sentiment analysis

Mining privacy profiles of mobile applications

Sharing economies

Smart GridsRecommender systems

A real-world data-science challenge!


Project Examples

Some possible application areas for data science

Each area provides opportunities for several projects

We show you possible areas but not problems

Defining the problem is your job! See Step 1 of the project guide

Contact us for more information about the exact projects and datasets


Human Activity Recognition

Evangelos Pournaras

Using phone sensors

17.12.2015

Activities

Walking, stepping, running, sitting, etc.

Sleeping

Driving

Health

Quality indicators

DatasetsNervousnet

MDCCrownSignals

UCI

ActivitiesEarthquake detection, pedestrian flows, etc.

Device Analyzer


Polarization, Conflicts, Sentiment Analysis


EU economic crisis - Grexit

Immigration

OtherDatasetsAvailable: Grexit twitter data (2.5GB)

Crawl: Twitter API, DGELT, http://crisislex.org

Opinion mining, information spread, etc.


Mining Privacy Profiles of Mobile Applications


Device analyzer app, Android marketplace crawler, IzzyOnDroid, F-

Droid, survey questions, etc.

Possible Projects

Datasets

Privacy preferences, data sharing attitudes, application profiles, data

summarization algorithms, etc


Sharing Economies


Hubway, UBER API, etc.Datasets

Possible Projects

Mobility analysis, system performance analysis, robustness, quality of service,

etc.


Smart Grids


ECBT, PNW, DRED, REDD, PEV, NREL etc.

Residential Energy Management

Datasets

Electrical Vehicles

Renewables

Consumption planning/profiling/disaggregation,

user activity extraction, etc.

Peak shaving, cost optimization, resilience to blackouts, discomfort minimization,

fairness, etc.

Forecasting, optimal power generation, etc.

Mobility pattern recognition


Recommender Systems


Supermarket Products

Product categorization/classification, consumer profiling/preference

extractions, collaborative filtering, etc

Movies

Restaurants

ASSET, UCI, etcDatasets


DEBS Challenge!


The 2017 DEBS Grand Challenge focuses on two scenarios that relate to the problem of automatic detection of anomalies for manufacturing equipment. The overall goal of both scenarios is to detect abnormal behavior of a manufacturing machine based on the observation of the stream of measurements provided by such a machine. The data produced by each sensor is clustered and the state transitions between the observed clusters are modeled as a Markov chain. Based on this classification, anomalies are detected as sequences of transitions that happen with a probability lower than a given threshold.

The difference between the first and the second scenario is that in the first scenario the number of machines to observe is fixed, while in the second scenarios new machines dynamically join and leave the set of observable machines.

http://www.debs2017.org/call-for-grand-challenge-solutions/


Questions


Contact us for more information

Documents

project examples - ethz.ch · Project Examples Some possible application areas for data science Each area provides opportunities for several projects We show you possible areas but