MineAr
Author:
Affiliation:
1. Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3152494.3152504
Reference14 articles.
1. R. Agrawal T. Imielinski and A. Swami. 1993. Mining Association Rules between Sets of Items in Large Databases. In SIGMOD. 207--216. 10.1145/170036.170072 R. Agrawal T. Imielinski and A. Swami. 1993. Mining Association Rules between Sets of Items in Large Databases. In SIGMOD. 207--216. 10.1145/170036.170072
2. Almende B.V. 2010. vis.js. (2010). Vis.js is dual licensed under both Apache 2.0 and MIT. Almende B.V. 2010. vis.js. (2010). Vis.js is dual licensed under both Apache 2.0 and MIT.
3. CrowdMiner
4. Rubi Boim Ohad Greenshpan Tova Milo Slava Novgorodov Neoklis Polyzotis and Wang Chiew Tan. 2012. Asking the Right Questions in Crowd Data Sourcing. In ICDE. 1261--1264. 10.1109/ICDE.2012.122 Rubi Boim Ohad Greenshpan Tova Milo Slava Novgorodov Neoklis Polyzotis and Wang Chiew Tan. 2012. Asking the Right Questions in Crowd Data Sourcing. In ICDE. 1261--1264. 10.1109/ICDE.2012.122
5. Sergey Brin Rajeev Motwani Jeffrey D. Ullman and Shalom Tsur. 1997. Dynamic Itemset Counting and Implication Rules for Market Basket Data. In SIGMOD. 255--264. 10.1145/253262.253325 Sergey Brin Rajeev Motwani Jeffrey D. Ullman and Shalom Tsur. 1997. Dynamic Itemset Counting and Implication Rules for Market Basket Data. In SIGMOD. 255--264. 10.1145/253262.253325
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