Kenkyuu

Research Statement

My research focuses on scalable data mining. In particular, my interest is in mining the Web by using data-intensive scalable computing systems. As such, my research develops along two main axes: (i) tapping into the Web as a source of data and (ii) dealing with its immense scale. These two aspects combined create what people call “big data”. I usually apply my research to help people dealing with information overload.

In the first area, I am interested by the insights that come from exploring news and social networks. I enjoy finding creative ways to extract new information from the data. In the second area, I am thrilled by the challenges created by the sheer size of the data. I like developing new scalable data mining algorithms that take advantage of parallel and streaming solutions.

Inspired by Ernest Hemingway, my research in 6 words.

Big data: because more is different.

Publications

Presentations

• “Quantifying and Reducing Controversy in Social Media”
  QCRI, Doha, 3 May 2017. [slides]
• “Big Data Streams: The Next Frontier”
  KTH, Stockholm, 24 Jun 2015. [slides]
• “To Stream or Not To Stream? The Landscape of Online Analytics”
  EVAM Solutions Day, Istanbul, 28 May 2015. [slides]
• “Mining Big Data Streams: Better Algorithms or Faster Systems?”
  KAIST, Seoul, 20 April 2015. [slides]
• “SAMOA: A Platform for Mining Big Data Streams”
  Strata ’14, Barcelona, 20 Nov 2014. [slides]
• “Mining Big Data Streams”
  Workshop on “Online Social Networks: Emerging Trends”, University of Cyprus, Nicosia, 8 Oct 2014.
• “SAMOA: A Platform for Mining Big Data Streams”
  University Federico Santa Maria / University of Chile / University of Santiago, Santiago de Chile, Aug 2014. [slides]
• “SAMOA: Scalable Advanced Massive Online Analysis”
  NoSQL Matters ’13, Barcelona, 30 Nov 2013. [video|slides]
• “SAMOA: A Platform for Mining Big Data Streams”
  RAMSS ’13 Keynote, Rio De Janeiro, 14 May 2013. [slides]
• “Big Data and the Web”
  IMT Institute for Advanced Studies, Lucca, 21 March 2012. [slides]
• “Harnessing the Real-Time Web for Personalized News Recommendation”
  Yahoo! Labs, Sunnyvale, 16 February 2012. [slides]
• “Big Data and the Web: Algorithms for Data Intensive Scalable Computing”
  WSDM’12 Doctoral Consortium,  Seattle, 8 February 2012.
• “Social Content Matching in MapReduce”
  Yahoo! Research, Barcelona, 10 March 2011. [slides]
• “Cloud Computing for Large Scale Data Analysis”
  Yahoo! Research, Barcelona, 2 December 2010. [slides]
• “Scaling Out All Pairs Similarity Search with MapReduce”
  Summer School on Social Networks, Lipari, 6 July 2010. [slides]
• “How to Survive the Data Deluge: Petabyte Scale Cloud Computing”
  ISTI-CNR, Pisa, 18 January 2010. [slides]

Patents

• “Two methods for matching social content in MapReduce architecture”
• “An automatic method to build flowcharts for e-shopping recommendations”
• “An information retrieval method for online news suggestion using closed captions”
• “A system for recommending relevant Web content to second-screen application users”

Community Service

• Chair: SNOW ’13-14-16-17 (Social News on the Web, workshop @WWW). [web]
• Tutorial:
  “Polarization on Social Media” @ICWSM ’17, @WWW ’18, @KDD ’18. [web]
  “IoT Big Data Stream Mining” @KDD ’16, @CIKM ’16, @AAAI ’17, @SDM ’17. [web]
  “Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms” @WWW ’16. [web]
  “Big Data Stream Mining” @IEEE BigData ’14. [web|slides]
• Track Chair:
  • EuroPar ’18
• PC member:
  • KDD ’15-16-17-18
  • ICWSM ’14-’17-’18
  • WWW ’14-16-17-18
  • WSDM ’13-14-16-17-18
  • CIKM ’14-15-17
  • ICDM ’16-17
  • IJCAI ’15-17
  • ECMLPKDD ’15-16
  • LSRS ’15-16-17
  • DSSD ’17
  • MAISoN ’17
  • BigMine ’14-15-16-17-18
  • IIR ’15-16
  • SMNews ’16
  • RTStreams ’15
• External reviewer: KDD ’12, ICDE ’13, ICDM ’14, KDD ’14, ICALP ’14.
• Reviewer: TWEB, TKDE, TKDD, WWWJ, VLDBJ, KAIS, PARCO, MACH, JPDC, Network Science.