Gregory I. Piatetsky-Shapiro (born 7 April 1958) is a data scientist and the co-founder of the KDD conferences, and co-founder and past chair of the Association for Computing Machinery SIGKDD group for Knowledge Discovery, Data Mining and Data Science. [1] He is the founder and president of KDnuggets, [2] a discussion and learning website for Business Analytics, Data Mining and Data Science.
A Jewish refugee from Soviet Union, Gregory Piatetsky was born in Moscow, Russia to Inna Mogilevskaya and mathematician Ilya Piatetski-Shapiro. He was admitted in 1970 to Physics-Mathematics School no. 2, a leading math school in Moscow. [3] [4]
In March 1974, Piatetsky emigrated to Israel with his family, studying mathematics and computer science at Tel Aviv University for one semester at Technion. [5] He subsequently earned MS (1979) and Ph.D. (1984) degrees from NYU Courant Institute. [6]
In 1984, his first paper was published in SIGMOD, proving that secondary index selection is NP-complete by reducing it to a set cover problem. [7] In his dissertation, he proved that the greedy method for set cover has a lower bound of 1 - 1/e ~ 63% of the optimal. [8]
He joined GTE Laboratories, where he worked on intelligent interfaces relating to databases. In 1989, he proposed a new project at GTE called "Knowledge Discovery in Databases". The project created advanced prototypes, including KEFIR (Key Findings Reporter), [9] a system for analysis and summarization of key changes in large databases, which was a forerunner of systems like Google Analytics Intelligence. A KEFIR prototype was applied to GTE health care data and received GTE's highest technical award. [10]
In 1997, he left GTE to join Knowledge Stream Partners (KSP), where he was Director and later Vice President and Chief Scientist. [11] In April 2000, KSP was acquired by Xchange, Inc., [12] where Piatetsky served as VP and Chief Scientist. [11]
Piatetsky left Xchange in May 2001 to become a self-employed consultant and focus on KDnuggets. [13]
In 1989, Piatetsky organized the first workshop on Knowledge Discovery in Data (KDD-89), held at IJCAI-1989 in Detroit, MI. [1] This workshop had over 60 attendees, including researchers Ross Quinlan and Jaime Carbonell.[ citation needed ]
Piatetsky organized the next two KDD workshops, in 1991 and 1993. [1] With Usama Fayyad and Ramasamy (Sam) Uthurusamy, he expanded the workshops into an annual international conference on Data Mining and was the General Chair of the KDD-98 conference. [14] He served as the chair of the KDD Steering committee until 1998, when the SIGKDD group was formed as part of ACM to run the annual KDD conference and help promote research in Knowledge Discovery and Data Mining. He served as Director of SIGKDD for 2001–2005 and as SIGKDD Chair for 2005–2009. [15]
In 1997, Piatetsky and Ismail Parsa initiated the KDD Cup competition, which was the world's first open data mining contest. [16]
The annual ACM SIGKDD conference is the leading research conference on Knowledge Discovery and Data Mining, according to Microsoft Academic search [17] and Google Scholar. [18] The 21st ACM SIGKDD conference was held in Sydney, Australia in August 2015.
In 1993, Piatetsky started Knowledge Discovery Nuggets (KDnuggets) as a newsletter to connect researchers who attended the KDD-93 workshop. With the emergence of the Internet and Mosaic, he and Chris Matheus eventually created the website: Knowledge Discovery Mine, [19] hosted at GTE Labs. The newsletter served as an unofficial publication of KDD workshops. When Piatetsky left GTE Labs, he created the KDnuggets website, [20] with the mission of covering the field with short, concise "nuggets". The resource started as a directory for the subjects of data mining and data science, including Software, jobs, academic positions, CFP (calls for papers), companies, courses, datasets, education, meetings, publications and webcasts.
KDnuggets' main focus is to cover the fields of Business Analytics, Data Mining, and Data Science, including interviews with key leaders. It offers a free data mining course for advanced undergraduates or first-year graduate students. [21]
@KDnuggets Twitter was
In February 2015, Piatetsky and Data ScienceTech Institute announced a partnership and he became an Honorary Member of its Scientific Advisory Board. [22]
In 1991, Piatetsky and William (Bud) Frawley edited their first book Knowledge Discovery in Databases. In 1996, Piatetsky, Usama Fayyad, Padhraic Smyth, and Ramasamy Uthurusamy edited a follow-up Advances in Knowledge Discovery and Data Mining. [23]
Piatetsky also helped launch and co-edit the Data Mining and Knowledge Discovery journal.[ citation needed ] He authored 9 edited books and collections and over 60 technical papers, articles and book chapters, mostly focusing on data mining and knowledge discovery.[ citation needed ].
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
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SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference.
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Hans-Peter Kriegel is a German computer scientist and professor at the Ludwig Maximilian University of Munich and leading the Database Systems Group in the Department of Computer Science. He was previously professor at the University of Würzburg and the University of Bremen after habilitation at the Technical University of Dortmund and doctorate from Karlsruhe Institute of Technology.
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Jie Tang is a full-time professor at the Department of Computer Science of Tsinghua University. He received a PhD in computer science from the same university in 2006. He is known for building the academic social network search system AMiner, which was launched in March 2006 and now has attracted 2,766,356 independent IP accesses from 220 countries. His research interests include social networks and data mining.
Usama M. Fayyad is an American-Jordanian data scientist and co-founder of KDD conferences and ACM SIGKDD association for Knowledge Discovery and Data Mining. He is a speaker on Business Analytics, Data Mining, Data Science, and Big Data. He recently left his role as the Chief Data Officer at Barclays Bank.
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Gregory Piatetsky-Shapiro has received the first ACM SIGKDD Service award for starting the KDD conferences and contributions to the KDD community, including KDnuggets newsletter. Dr. Piatetsky-Shapiro is the founder of the Knowledge Discovery in Database conference series (KDD, now the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).
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Dr. Piatetsky-Shapiro is the founder of the Knowledge Discovery in Database conference series (KDD, now the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).
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