Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise.
conexp-ng - ConExp-NG is a simple GUI-centric tool for the study & research of Formal Concept Analysis (FCA) that allows you to create formal contexts, draw concept lattices and explore dependencies between attributes.
S. Kuznetsov, und S. Obiedkov. Principles of Data Mining and Knowledge Discovery, Seite 289--300. Berlin, Heidelberg, Springer Berlin Heidelberg, (2001)
P. Singer, D. Helic, A. Hotho, und M. Strohmaier. Proceedings of the 24th International Conference on World Wide Web, Seite 1003--1013. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2015)
J. Huang, Z. Zhuang, J. Li, und C. Giles. Proceedings of the 2008 International Conference on Web Search and Data Mining, Seite 107--116. New York, NY, USA, ACM, (2008)
Y. Han, und J. Tang. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seite 407--416. New York, NY, USA, ACM, (2015)
F. Kooti, N. Hodas, und K. Lerman. Proceedings of the eighth International AAAI Conference on Weblogs and Social Media, Seite 266--274. AAAI, AAAI Press, (Juni 2014)
X. Wen, Y. Lin, C. Trattner, und D. Parra. Proceedings of the 25th ACM Conference on Hypertext and Social Media, Seite 285--290. New York, NY, USA, ACM, (2014)
J. Scripps, P. Tan, und A. Esfahanian. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, Seite 26--35. New York, NY, USA, ACM, (2007)