LIFT-Publications

 

K. Athanasoglou, M. Garofalakis, V. Samoladas, and D. Keren. “Sketch-based Geometric Tracking of Distributed Stream Queries”. (Unpublished manuscript, in preparation), 2012.

S. Burdakis and A. Deligiannakis. Detecting Outliers in Sensor Networks using the Geometric Approach, Proc. Of the International Conference on Data Engineering, 2012, to appear

G. Cormode, M. Garofalakis, P.J. Haas, C. Jermaine. Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches, Foundations and Trends in Databases, 2011, to appear

S. Florescu, C. Körner, M. Mock, and M. May. Efficient mobility pattern stream matching on mobile devices. In Proc. Ubiquitous Data Mining Workshop (ECAI2012), 2012. (http://www.liaad.up.pt/~udm/procUDMECAI2012.pdf#page=29)

S. Florescu. Efficient Retrieval of Mobility Patterns on Mobile Devices. Master Thesis. University of Bonn, 2012

M. Gabel, A. Schuster, R.-G. Bachrach, and N. Bjørner. Latent fault detection in large scale services. In Proc. of the 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2012. (http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263932)

N. Giatrakos, A. Deligiannakis, M. Garofalakis, I. Sharfman, A. Schuster. Prediction-based Geometric Monitoring over Distributed Data Streams Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012. ACM 2012, ISBN 978-1-4503-1247-9, http://www.softnet.tuc.gr/%7Eminos/Papers/sigmod12.pdfhttp://www.sigmod.org/, www.softnet.tuc.gr/~minos/Papers/sigmod12.pdf), pages: 265-276

N. Giatrakos, Y. Kotidis, A. Deligiannakis, V. Vassalos, and Y. Theodoridis. In-Network Approximate Computation of Outliers with Quality Guarantees, Information Systems, 2011 <pdf>

M. Kamp. Automatic Ditection of Anomalous Stock Market States Using Local Inference. Master Thesis. University of Bonn, 2011

D. Keren, I. Sharfman, A. Schuster, A. Livne. Shape Sensitive Geometric Monitoring, IEEE Transactions on Knowledge and Data Engineering, 2011 <pdf>

G. Sagy, D. Keren, I. Sharfman, A. Schuster. Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation, Proc. of the Intl. Conf. On Very Large Databases, 2011 <pdf>

C. Kopp. DATASIM Summer School Lecture: Generating Origin-Destination Matrices from Mobility Data, University of Hasselt, Belgium, 15.-18.7.2013
http://www.uhasselt.be/Documents/datasim/Summer%20School%202013/Presentation_Christine-Kopp.pdf

C. Kopp, M. Mock, and M. May. Privacy-preserving distributed monitoring of visit quantities. In ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2012.

O. Papapetrou, M. Garofalakis, and A. Deligiannakis. “Sketch-based Querying of Distributed Sliding-Window Data Streams”. Proc. VLDB Endow., 5(10):992–1003, June 2012. (http://arxiv.org/pdf/1207.0139.pdf)

M. Kamp, C. Kopp, M. Mock, M. Boley, and M. May. "Privacy-Preserving Mobility Monitoring using Sketches of Stationary Sensor Nodes". ECML/PKDD, 2013.

F. Pratesi. "Privacy by Design in Distributed Mobility Data". Master Thesis in Computer Science, University of Pisa, February, 2013.

A. Monreale, W. H. Wang, F. Pratesi, S. Rinzivillo, D. Pedreschi, G. Andrienko, and N. Andrienko. "Privacy-preserving Distributed Movement Data Aggregation". AGILE 2013

F. Pratesi, A. Monreale, W. H. Wang, S. Rinzivillo, D. Pedreschi, G. Andrienko, and N. Andrienko. "Privacy-Aware Distributed Mobility Data Analytics". SEBD 2013.

M. Gabel, D. Keren, A. Schuster. "Communication-efficient Outlier Detection for Scale-out Systems". First International Workshop on Big Dynamic Distributed Data (BD3), held at the 39th International Conference on Very Large Data Bases, VLDB 2013.

M. Kamp, M. Boley, T. Gärtner. "Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features". Workshop on Domain Driven Data Mining (DDDM 2013) at ICDM 2013.

M. Garofalakis, D. Keren and V. Samoladas.  "Sketch-based geometric monitoring of distributed stream queries". Proceedings of the 39th International Conference on Very Large Data Bases, VLDB 2013.

D. Keren, G. Sagy, A. Abboud, D. Ben-David, I. Sharfman, and A. Schuster. "Safe-Zones for Monitoring Distributed Streams". First International Workshop on Big Dynamic Distributed Data (BD3), held at the 39th International Conference on Very Large Data Bases, VLDB 2013.

C. Kopp, M. Mock, O. Papapetrou and M. May. "Large-scale Online Mobility Monitoring with Exponential Histograms". First International Workshop on Big Dynamic Distributed Data (BD3), held at the 39th International Conference on Very Large Data Bases, VLDB 2013.

M. Boley, M. Kamp, D. Keren, A. Schuster and I. Sharfman. "Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations". First International Workshop on Big Dynamic Distributed Data (BD3), held at the 39th International Conference on Very Large Data Bases, VLDB 2013.

D. Keren, G. Sagy, A. Abboud, D. Ben-David, A. Schuster, I. Sharfman and A. Deligiannakis. “Geometric Monitoring of Heterogeneous Streams”. IEEE Transactions on Knowledge and Data Engineering, 2013

M. Hoffmann, M. Mock, M. May. "Road-quality classification and bump detection with bicycle-mounted smartphones". Workshop on Ubiquitous Data Mining on Int. Conf. on Artificial Intelligence (IJCAI - 2013), Bejing, pp. 39-43.

A. Burmeister. "Implementierung und Evaluierung eines Sketch-basierten, verteilten Monitoring Systems". Bachelor Thesis, University of Magdeburg, 2013.

O. Papapetrou and M. Garofalakis. "Continuous Fragmented Skylines". Proceedings of IEEE ICDE 2014.

M. Nanny, R. Trasarti, P. Cintia, B. Furletti, C. Renso, L. Gabrielli, S. Rinzivillo, F. Giannotti. "Mobility Profiling". Data Science and Simulation in Transportation Research, 2013.

Relevant Background Publications by Project Partners

O. Abul; F. Bonchi; F. Giannotti. Hiding Sequential and Spatio-temporal Patterns. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2010

O. Abul, F. Bonchi, M. Nanni: Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases. ICDE 2008: 376-385

O. Abul, M. Atzori, F. Bonchi, F. Giannotti: Hiding Sequences. ICDE Workshop 2007: 147-156.

N. Andrienko and G. Andrienko. Spatial generalization and aggregation of massive movement data. IEEE Transactions on Visualization and Computer Graphics, 17:205–219, 2011. ISSN 1077-2626. (http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5432167)

M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi: Anonymity preserving pattern discovery. VLDB Journal 17(4): 703-727 (2008)

M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi: Blocking Anonymity
Threats Raised by Frequent Itemset Mining. ICDM 2005, 561-564

G. Cormode, M. Garofalakis, S. Muthukrishnan, R. Rastogi. “Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles”. ACM SIGMOD 2005.

G. Cormode, M. Garofalakis. “Streaming in a connected world: querying and tracking distributed data streams”, Tutorial in the 2007 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’07), 2007.

G. Cormode, M. Garofalakis. “Approximate continuous querying over distributed streams”, ACM Trans. on Database Systems, 33(2): (2008)

G. Cormode and M. Garofalakis. “Histograms and Wavelets on Probabilistic Data”, ICDE 2009. Best Paper Award.

G. Cormode, M. Garofalakis, S. Muthukrishnan, R. Rastogi. “Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles”, In Proc. of the 2005 ACM SIGMOD International Conference on Management of Data (SIGMOD’05), Baltimore, Maryland, June 2005.

A. Dobra, M. Garofalakis, J. Gehrke, R. Rastogi. “Processing complex aggregate queries over data streams”, In Proc. of the 2002 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’02), 2002.

A. Friedman, A. Schuster and R. Wolff. k-Anonymous Decision Tree Induction, The 10th European Conf. on Princ. and Pract. of Knowledge Discovery in Databases (PKDD), 2006. Best Student Paper Award.

S. Ganguly, M. Garofalakis, and R. Rastogi. Processing set expressions over continuous update streams. In Proc. of the 2003 ACM SIGMOD international conference on Management of data (SIGMOD’03), pages 265–276. ACM, 2003

M. Garofalakis, J. Gehrke, R. Rastogi. “Querying and Mining Data Streams: You Only Get One Look”, Tutorial in the 2002 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’02), 2002.

F. Giannotti, M. Nanni, F. Pinelli, D. Pedreschi: Trajectory pattern mining. KDD 2007: 330-339

F. Giannotti and D. Pedreschi (Eds.) Mobility, Data Mining and Privacy. Springer, 2008.

F. Giannotti and D. Pedreschi. GeoPKDD Publishable Executive Summary. May 2009. Available at http://www.geopkdd.eu/files/dev_public/publishable_cover.pdf

B. Gilburd, A. Schuster, and R. Wolff. A new privacy model and association-rule mining algorithm for large-scale distributed environments. VLDB 2005: 563 - 568.

J.M. Hellerstein, T. Condie, M. Garofalakis, B.T. Loo, P. Maniatis, T. Roscoe., N.A. Taft. “Public Health for the Internet (φ) – Towards a New Grand Challenge for Information Management”, In Proc. of CIDR’2007, Asilomar, California, 2007

L. Huang, X.L. Nguyen, M. Garofalakis, J. M. Hellerstein, M. I. Jordan, A. D. Joseph, N. Taft. "Communication-Efficient Online Detection of Network-Wide Anomalies", IEEE INFOCOM 2007.

C. Körner. Modeling Visit Potential of Geographic Locations Based on Mobility Data. PhD thesis, University of Bonn, Germany, 2012. (http://hss.ulb.uni-bonn.de/2012/2811/2811.pdf)

Ch. Körner, D. Hecker, M. May, St. Wrobel. „Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications”. Geospatial Thinking, 2010.

S. Mascetti, A. Monreale, A. Ricci, A. Gerino. Anonymity: a Comparison between the Legal and Computer Science Perspectives. European Data Protection: Coming of Age, 2013, 978-94-007-5184-2, Springer, pages: 85-115

M. May, B. Berendt, A. Cornuéjols, J.Gama, F. Giannotti, A. Hotho, D. Malerba, E. Menesalvas, K. Morik, R. Pedersen, L. Saitta, Y. Saygin, A. Schuster, and K. Vanhoof, Research Challenges in Ubiquitous Knowledge Discovery, in: Kargupta, H., Han J., Yu, P., Motwani, R., Kumar. V, Next Generation of Data Mining (NGDM07), Chapman & Hall CRC

A. Monreale. Privacy by Design in Data Mining. PhD thesis, University of Pisa, 2011

Anna Monreale, Roberto Trasarti, Dino Pedreschi, Chiara Renso, and Vania Bogorny. Csafety: a framework for the anonymization of semantic trajectories. Transactions on Data Privacy

M. Nanni, R. Trasarti, R. G., and D. Pedreschi. Efficient distributed computation of human mobility aggregates through user mobility profiles. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing (UrbComp 2012), pages 87–94. ACM, 2012. (http://www.cs.uic.edu/~urbcomp2012/papers/UrbComp12_Paper16_Nanni.pdf)

Nanni, M.; Kuijpers, B.; Körner, C.; May, M.; Pedreschi, D., Spatiotemporal data mining, in: Giannotti, F., Pedreschi, D.: Mobility, data mining, and privacy. Berlin: Springer, 2008, S.267-296

M. Nanni, D. Pedreschi: Time-focused clustering of trajectories of moving objects. J. Intell. Inf. Syst. 27(3): 267-289 (2006)

Ruggero G. Pensa, A. Monreale, F. Pinelli, D. Pedreschi: Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining. PiLBA 2008

D. Pedreschi
, A. Monreale, F. Giannotti. Privacy by design in data mining. In Awareness Magazine, 2012. DOI: 10.2417/3201202.004005

C. Renso, M. Baglioni, J. A. F. de Macedo, R. Trasarti, M. Wachowicz. How you move reveals who you are: understanding human behavior by analyzing trajectory data. Knowledge and Information Systems KAIS Journal (KAIS), 2012.

G. Sagy, D. Keren, I. Sharfman, A. Schuster. „Distributed Querying of General Functions by a Difference of Monotonic Representation” <pdf>. VLDB 2011.

I. Sharfman, A. Schuster, D. Keren. “A geometric approach to monitoring threshold functions over distributed data streams”. SIGMOD 2006. Honorable Mention for Best Paper Award (ranked 2/3 place).

I. Sharfman, A. Schuster, and D. Keren, “A geometric approach to monitoring threshold functions over distributed data streams”, ACM Transactions on Database Systems, 32.4, 2007.

I. Sharfman, A. Schuster, D. Keren. “Shape sensitive geometric monitoring”, PODS 2008.

V. Stankovski, M. Swain, V. Kravtsov, T. Niessen, D. Wegener, M. Rohm, J. Trnkoczy, M. May, J. Franke, A. Schuster and W. Dubitzky, Digging Deep into the Data Mine with DataMiningGrid, <pdf> IEEE Internet Computing, Vol. 12, No. 6, 2008.

Fraunhofer IAIS

News

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.

 

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