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The Knowledge Discovery and Data Mining Laboratory (KDD Lab) is a joint research initiative of ISTI Institute of CNR and the Department of Computer Science of the University of Pisa.

The objective of the research unit is the development of theory, techniques and systems for extracting and delivering useful knowledge out of large masses of data.

Today, knowledge discovery and data mining is both a technology that blends data analysis methods with sophisticated algorithms for processing large data sets, and an active research field that aims at developing new data analysis methods for novel forms of data. On one side, classification, clustering and pattern discovery tools are now part of mature data analysis and Business Intelligence systems and have been successfully applied to problems in various commercial and scientific domains. On the other side, the increasing heterogeneity and complexity of the new forms of data – such as those arriving from medicine, biology, the Web, the Earth observation systems, the mobility data arriving from wireless networks – call for new forms of patterns and models, together with new algorithms to discover such patterns and models efficiently.

In this context, the mission of the KDD laboratory is to pursue fundamental research, strategic applications and higher education.

Research

It was 1999 when we approached data mining research field. Our exploration of the world of Data is still continuing...

Excellent expertise has been gained thanks to the involvement in several EU projects, as GeoPKDD(www.geopkdd.eu) and MODAP (www.modap.eu). A concrete recent achievement is the realization of the system M-ATLAS as an platform to support the mobility knowledge discovery process, from data preprocessing, to data mining to semantic enrichment and patterns interpretation.

The main research track of KDDLab in the field of Complex Networks is Multidimensional Network Analysis. Traditionally, Complex Network Analysis has been monodimensional: researchers focused their attention to network with a single kind of relation represented. KDDLab is pushing the research over multidimensional networks, i.e. network with multiple kind of relations, since they are a better model to represent the complexity in reality (transportation, infrastructure and social networks are often multidimensional).

In the era of Big Data the opportunities of discovering knowledge from social big data increase with the risk of privacy and discrimination violation. However, big data analytics and fairness are not necessarily enemies. Sometimes many practical and impactful services based on big data analytics can be designed in such a way that the quality of results can coexist with discrimination and privacy protection. The solution is the application of the privacy-by-design and discrimination-by-design principles.

One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities promise to let us scrutinize the ground truth of individual and collective behaviour at an unprecedented detail and scale. There is an urgent need to harness these opportunities for scientific advancement and for the social good. The main obstacle to this accomplishment, besides the scarcity of data scientists, is the lack of a large-scale open infrastructure, where big data and social mining research can be carried out.

EU Datathon 2018

Start:
2018/05/22 09:00 Europe/Rome
End:
2018/10/02 18:00 Europe/Rome
Location:
Brussels, Belgium
Link:
EU Datathon 2018
Description:

The Publications Office of the European Union is organising the second edition of the EU Datathon competition that highlights the potential of linking EU and national data.
The event started in May 2018, with the final phase taking place in Brussels on 2 October 2018.

International Workshop on Dynamics in and of Networks (DYNO)

Start:
2018/08/28 18:00 Europe/Rome
End:
2018/08/28 18:00 Europe/Rome
Location:
Barcelona, Spain
Link:
DYNO 2018
Description:

Network dynamics is one of the biggest challenge that emerged in recent years in network science. Real life networks cannot be considered anymore as static entities that we can pin to the wall and measure once and for all. They are, on the contrary, subject to several dynamics processes: Dynamic on the network, such as information propagation, viral diffusion, etc.

First International Workshop on Social human behavior Analysis through Online social networks and media (SAO18)

Start:
2018/08/28 18:00 Europe/Rome
End:
2018/08/28 18:00 Europe/Rome
Location:
Barcelona, Spain
Link:
SAO18
Description:
Online Social Networks and Media (OSNEM) are among the most disruptive communication platforms of the last 15 years with high socio-economic value. On the one hand, OSNEM represent a challenging technical environment for computer scientists working in academia and industry, to develop new generations of collaborative platforms and their services.

International Workshop on Personal Analytics and Privacy PAP2018

Start:
2018/09/10 09:00 Europe/Rome
End:
2018/09/10 18:00 Europe/Rome
Location:
Croke Park, Dublin, Ireland
Link:
PAP 2018: PERSONAL ANALYTICS AND PRIVACY
Description:

In the era of Big Data, every single user of our hyper-connected world leaves behind a myriad of digital breadcrumbs while performing her daily activities. Nowadays, a simple smartphone enables each one of us to browse the Web, listen to music on online musical services, post messages on social networks, perform online shopping, acquire images and record our geo\-graphical locations.

KNOWMe: 2nd International Workshop on Knowledge Discovery from Mobility and Transportation Systems @ ECML PKDD

Start:
2018/09/10 09:00 Europe/Rome
End:
2018/09/14 18:00 Europe/Rome
Location:
Dublin, Ireland (In conjunction with ECML PKDD 2018)
Link:
KNOWledge Discovery from Mobility and Transportation Systems
Description:
The recent technological advances on telecommunications create a new reality on mobility sensing. Nowadays, we live in an era where ubiquitous digital devices are able to broadcast rich information about human mobility in real-time and at a high rate. Such fact exponentially increased the availability of large-scale mobility data which has been popularized in the media as the new currency, fueling the future vision of our smart cities that will transform our lives. The reality is that we just began to recognize significant research challenges across a spectrum of topics.

The 5th IEEE International Conference on Data Science and Advanced Analytics

Start:
2018/10/01 09:00 Europe/Rome
End:
2018/10/04 18:00 Europe/Rome
Location:
Turin, Italy
Link:
The 5th IEEE International Conference on Data Science and Advanced Analytics
Description:

The IEEE International Conference on Data Science and Advanced Analytics (DSAA) aims to be the flagship annual meeting spanning the interdisciplinary field of Data Science. DSAA focuses on the science of data science, as well as the implications of the science for applications to industry, government, and society.

Publications

Fun Facts


3
Gigabytes of data produced by a single person each year
3100
Millions of Internet users
500
Millions of Tweets sent per day
2300
Gigabytes of Internet traffic per day

Contacts

Need info? Want ideas? Write us!

Address @ ISTI

KDD Lab
Istituto di Scienza e Tecnologie dell’Informazione
Area della Ricerca CNR
via G. Moruzzi 1
56124 Pisa, Italy

Address @ UniPi

KDD Lab
Dipartimento di Informatica
Università di Pisa
Largo B. Pontecorvo 3
56127 Pisa, Italy

Phone Number

Phone: +39 050 621 3013
Fax: +39 050 315 2040

Email

kddlab-info@isti.cnr.it

Largo B. Pontecorvo 3
56127 Pisa
Italy
via Moruzzi 1
56124 Pisa
Italy