Everything about Data Mining Extensions

🧭 Start here: a 6-step reading path

1. Read the overview: Data Mining ExtensionsA 5-minute orientation
2. Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
3. Read the landmark paper: Data mining using extensions of the rough set modelCited 58 times
4. Go sideways: Data definition languageA closely related topic
5. Go sideways: Data control languageA closely related topic

🏆 Landmark papers (most cited)

• Data mining using extensions of the rough set model

  P. J. Lingras, Y. Y. Yao · 1998 · Journal of the American Society for Information Science · 58 citations

• Feature space theory in data mining: transformations between extensions and intensions in knowledge representation

  Hong Xing Li, Li Da Xu, Jia Yin Wang · 2003 · Expert Systems · 51 citations

• Data mining using extensions of the rough set model

  P. J. Lingras, Y. Y. Yao · 1998 · Journal of the American Society for Information Science · 40 citations

• How to Put Archaeological Geometric Data into Context? Representing Mining History Research with CIDOC CRM and Extensions

  Gerald Hiebel, Martin Doerr, Klaus Hanke · 2014 · International Journal of Heritage in the Digital Era · 7 citations

📚 Books worth reading

• Neural Information ProcessingTingwen Huang · 2012
• 📕The Grenville Province to the east of Val d'Or, Quebec: a geological reconnaissance and a possible extension of the Abitibi greenstone belt in the Grenville parautochthonous belt, pgs 1 - 7. by T.C. Birkett, N. Marchildon, S. Paradis and R. Godue Current Research, Part C: Canadian ShieldJ. Adams
• Theory and Practice of ComputationShin-ya Nishizaki · 2013
• Advances in Multimedia ModelingShipeng Li · 2012
• Handbook of Signal Processing SystemsShuvra S. Bhattacharyya · 2013
• Why programs failAndreas Zeller · 2005
• Sullivan's new hydraulicsMarvin E. Sullivan · 1900
• Statistical Methods for Ranking DataMayer Alvo, Philip L.H. Yu · 2014

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

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• Data control language A data control language (DCL) is a syntax similar to a computer programming language used to control access to data stored in a database (authorization)…
• Data manipulation language A data manipulation language (DML) is a computer programming language used for adding (inserting), deleting, and modifying (updating) data in a database…
• Dataphor Free and open-source software portal Dataphor is an open-source truly-relational database management system (RDBMS) and its accompanying user interface…
• Data query language Data query language (DQL) is a term used to describe the subset of SQL statements concerned with retrieving data from a database. It is commonly presented…
• Microsoft Analysis Services Microsoft SQL Server Analysis Services (SSAS) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a…
• Truncate (SQL) In SQL, the TRUNCATE TABLE statement is a data manipulation language (DML) operation that deletes all rows of a table without causing a triggered action…
• Database trigger A database trigger is procedural code that is automatically executed in response to specific events on a table or view in a database. Triggers are commonly…