Mining market data: A network approach

By Vladimir Boginski, Sergiy Butenko, P. Pardalos. Computers & Operations Research, 2006

303 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/648f3bdc8059dae382c8f1b4a61e36bfb82a7704

How researchers see this paper

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

In Economics and Econometrics

1. H. D. Ardakani
2. Ehsan Hajizadeh
3. Thomas Stützle
4. Jamal Shahrabi

In Statistical and Nonlinear Physics

1. H. D. Ardakani
2. Ehsan Hajizadeh
3. Thomas Stützle
4. Mauro Birattari
5. Jamal Shahrabi

Citations in the corpus

• Application of data mining techniques in stock markets: A survey (2010, methodology): “This methodology can be extended by considering quasicliques in the partition, which may reduce the number of obtained clusters (Vladimir et al., 2006).”
• An analysis of parameter adaptation in reactive tabu search (2014, background): “MCP is a well-studied NP-hard combinatorial optimisation problem (Balas and Yu, 1986; Bomze et al., 1999) with important applications in data mining (Boginski et al., 2006), computer vision (Pla and Marchant, 1997), social network analysis (Palla et al., 2007), computational bio-chemistry (Butenko…”
• A review on algorithms for maximum clique problems (2015, unknown): “…economics (Boginski, Butenko, & Pardalos, 2006), examination planning (Carter, Laporte, & Lee, 1996; Carter & Johnson, 2001), financial networks (Boginski, Butenko, & Pardalos, 2006), location (Brotcorne, Laporte, & Semet, 2002), scheduling (Dorndorf, Jaehn, & Pesch, 2008; Weide, Ryan, &…”