Data mining and Gregory Piatetsky-Shapiro

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Data mining and Gregory Piatetsky-Shapiro

Data mining vs. Gregory Piatetsky-Shapiro

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Gregory I. Piatetsky-Shapiro (born 7 April 1958) is a data scientist and the co-founder of the KDD, the Association for Computing Machinery SIGKDD association for Knowledge Discovery and Data Mining.

Similarities between Data mining and Gregory Piatetsky-Shapiro

Data mining and Gregory Piatetsky-Shapiro have 8 things in common (in Unionpedia): Association for Computing Machinery, Data Mining and Knowledge Discovery, Database, Google Scholar, InformationWeek, SIGKDD, SIGMOD, Usama Fayyad.

Association for Computing Machinery

The Association for Computing Machinery (ACM) is an international learned society for computing.

Association for Computing Machinery and Data mining · Association for Computing Machinery and Gregory Piatetsky-Shapiro · See more »

Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media.

Data Mining and Knowledge Discovery and Data mining · Data Mining and Knowledge Discovery and Gregory Piatetsky-Shapiro · See more »

Database

A database is an organized collection of data, stored and accessed electronically.

Data mining and Database · Database and Gregory Piatetsky-Shapiro · See more »

Google Scholar

Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines.

Data mining and Google Scholar · Google Scholar and Gregory Piatetsky-Shapiro · See more »

InformationWeek

InformationWeek is a digital magazine which conducts corresponding face-to-face events, virtual events, and research.

Data mining and InformationWeek · Gregory Piatetsky-Shapiro and InformationWeek · See more »

SIGKDD

SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining.

Data mining and SIGKDD · Gregory Piatetsky-Shapiro and SIGKDD · See more »

SIGMOD

SIGMOD is the Association for Computing Machinery's Special Interest Group on Management of Data, which specializes in large-scale data management problems and databases.

Data mining and SIGMOD · Gregory Piatetsky-Shapiro and SIGMOD · See more »

Usama Fayyad

Usama M. Fayyad (born July, 1965) is an American data scientist and co-founder of KDD conferences and ACM SIGKDD association for Knowledge Discovery and Data Mining.

Data mining and Usama Fayyad · Gregory Piatetsky-Shapiro and Usama Fayyad · See more »

The list above answers the following questions

What Data mining and Gregory Piatetsky-Shapiro have in common
What are the similarities between Data mining and Gregory Piatetsky-Shapiro

Data mining and Gregory Piatetsky-Shapiro Comparison

Data mining has 187 relations, while Gregory Piatetsky-Shapiro has 30. As they have in common 8, the Jaccard index is 3.69% = 8 / (187 + 30).

References

This article shows the relationship between Data mining and Gregory Piatetsky-Shapiro. To access each article from which the information was extracted, please visit:

Unionpedia is a concept map or semantic network organized like an encyclopedia – dictionary. It gives a brief definition of each concept and its relationships.

This is a giant online mental map that serves as a basis for concept diagrams. It's free to use and each article or document can be downloaded. It's a tool, resource or reference for study, research, education, learning or teaching, that can be used by teachers, educators, pupils or students; for the academic world: for school, primary, secondary, high school, middle, technical degree, college, university, undergraduate, master's or doctoral degrees; for papers, reports, projects, ideas, documentation, surveys, summaries, or thesis. Here is the definition, explanation, description, or the meaning of each significant on which you need information, and a list of their associated concepts as a glossary. Available in English, Spanish, Portuguese, Japanese, Chinese, French, German, Italian, Polish, Dutch, Russian, Arabic, Hindi, Swedish, Ukrainian, Hungarian, Catalan, Czech, Hebrew, Danish, Finnish, Indonesian, Norwegian, Romanian, Turkish, Vietnamese, Korean, Thai, Greek, Bulgarian, Croatian, Slovak, Lithuanian, Filipino, Latvian, Estonian and Slovenian. More languages soon.

All the information was extracted from Wikipedia, and it's available under the Creative Commons Attribution-ShareAlike License.

Unionpedia is not endorsed by or affiliated with the Wikimedia Foundation.

Google Play, Android and the Google Play logo are trademarks of Google Inc.