The Chosen Few: On Identifying Valuable Patterns

By Björn Bringmann, Albrecht Zimmermann. 2007

108 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Christian Borgelt
2. Jilles Vreeken
3. Arno Siebes
4. Matthijs van Leeuwen
5. Jure Leskovec
6. Himabindu Lakkaraju
7. Stephen H. Bach
8. Cynthia Rudin

In Computer Networks and Communications

1. Jure Leskovec
2. Christian Borgelt
3. Himabindu Lakkaraju
4. Stephen H. Bach
5. Jaewon Yang

In Information Systems

1. Christian Borgelt
2. Jilles Vreeken
3. Tong Wang
4. Himabindu Lakkaraju
5. Arno Siebes
6. Jure Leskovec
7. Matthijs van Leeuwen
8. Stephen H. Bach

Citations in the corpus

• Interpretable Decision Sets: A Joint Framework for Description and Prediction (2016, background): “The resulting ordered rules are instances of decision lists [10, 11, 13, 45, 52, 56].”
• Summarizing categorical data by clustering attributes (2011, unknown): “Bringmann and Zimmermann (2007) propose a greedy alternative to this exhaustive method that can consider larger sets of items.”
• Krimp: mining itemsets that compress (2011, background): “Recently, the approach of finding small subsets of informative patterns that describe the database has attracted a significant amount of research (Mielikäinen and Mannila 2003; Knobbe and Ho 2006a; Bringmann and Zimmermann 2007).”
• Evaluating Clustering in Subspace Projections of High Dimensional Data (2009, unknown): “Accuracy [24, 10]: Another measure uses the accuracy”
• Frequent item set mining (2012, background): “83 A general framework for this task, which has become known as constraint based pattern mining , has been suggested in Ref 84.”