Stock price collection and earnings per share of stocks from the Standard & Poor's 100 index as used in the LIFT publication Kamp, Boley, Gärtner, "Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features", 2013.


No. Name WPs involved Expected Date Means of Verification
MS1 Formation of Project Structures 6, 7 M6 Deliverables D6.1, D6.2, D6.3, D7.1
MS2 Initial Theoretical Framework 1, 2 M12 Deliverables D1.1, D2.1
MS3 Scenario Requirements Analysis and Evaluation Criteria 4, 5 M18 Deliverables D4.1, D5.1
MS4 Approach Formalised in Reference Architecture 1, 2, 3 M24 Deliverables D1.2, D3.1
MS5 Theoretical Framework Implemented in Scenarios 1, 2, 4 M34 Deliverables D4.2
MS6 Final Evaluation and Project End All M36 Deliverables D5.2, D7.2

List of workpackages

  • WP1 will develop the basic theory of safe zones, local summarisation and modelling, on which the project is based. It will provide the project with algorithms for monitoring of distributed data, including optimality guarantees. Also, a set of “safe zone-enabled” standard data mining algorithms will be developed.

  • WP2 will complement WP1 with a set of approaches for privacy-preserving data mining. In contrast to WP1, which will seek to minimise communication per se, the privacy-preserving operations developed here minimise and control the communication of sensitive information.

  • WP3 bridges the gap between the theoretical results in WPs 1 and 2 and their practical implementation in the scenarios in WP4. Based on the theoretical requirements, it will define a reference architecture, a set of communication protocols, and generic methods for data management, on which the implementation in each scenarios will be built.

  • WP4 demonstrates the feasibility and impact of the LIFT methodology in four selected challenging scenarios. In each task, it will define the relevant monitoring tasks, implement a demonstrator based on the technology defined in WP3, and collaborate with WP5 in the scenario-specific evaluation of the LIFT approach. Note that WP4 will not implement a single software that is fit for all scenarios, but rather implement a task-specific demonstrator for each scenario, leaving the generic parts to WP3.

  • WP5 will carry out the evaluation of the LIFT approach. It will both coordinate the single evaluation activities in each scenario, and evaluate the feasibility and impact in other application areas.

  • WP6 will be in charge of the dissemination activities.

  • WP7 will coordinate the project.

Fraunhofer IAIS


LIFT project flyer

The book chapter "Mobility Profiling" by M. NannyR. Trasarti, P. Cintia, B. Furletti, C. Renso, L. Gabrielli,S. Rinzivillo and F. Giannotti is published in Data Science and Simulation in Transportation Research, 2013.

The project workshop "First International Workshop on Big, Dynamic, Distributed Data (BD3)" is held in conjunction with VLDB'2013, August, 2013 in Trento, Italy.

The next meeting is 29. August 2013 in Riva del Garda, Trento, Italy.