6 papers:
KDD-2013-CiglanLN #community #detection #network #on the- On community detection in real-world networks and the importance of degree assortativity (MC, ML, KN), pp. 1007–1015.
KDIR-2012-BhattacharjeeBG #data mining #mining #network #optimisation #using- Product Assortment Decisions for a Network of Retail Stores using Data Mining with Optimization (SB, FB, RDG), pp. 319–323.
- KDD-2011-MooreYZRL #classification #learning #network
- Active learning for node classification in assortative and disassortative networks (CM, XY, YZ, JBR, TL), pp. 841–849.
ECIR-2009-HalveyPHVHGJ #case study #difference #low level #metric #retrieval #using #video- Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval (MH, PP, DH, RV, FH, AG, JMJ), pp. 126–137.
SAC-2001-FernandesTMR #algorithm #problem #search-based #using- Using assortative mating in genetic algorithms for vector quantization problems (CMF, RT, CM, ACR), pp. 361–365.
- KDD-1999-BrijsSVW #case study #using
- Using Association Rules for Product Assortment Decisions: A Case Study (TB, GS, KV, GW), pp. 254–260.
