Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
-
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
Z Zheng, H Ma, MRT Lyu, I King. Cited by 447
-
Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images
NS Mishra, S Ghosh, AK Ghosh
-
Knowledge Discovery in Production simulation By Interleaving Multi-Objective Optimization and Data Mining
AHC Ng, C Dudas, L Pehrsson, K Deb. Cited by 8
-
Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
J Tang, I King, L Chen, J Wang. Cited by 1
-
RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data
M Dash, YS Ong. Cited by 20
-
A report on the fourth ACM international conference on web search and data mining (WSDM 2011)
I King, H Li
-
Probabilistic factor models for web site recommendation
H Ma, C Liu, I King, MRT Lyu. Cited by 79
-
Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets
JH Chan, P Sootanan, P Larpeampaisarl. Cited by 11
-
The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011)
I King, H Li. Cited by 11
-
Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique
S Bandaru, K Deb. Cited by 67
-
Feature selection applicable to classification and clustering by the analysis of optical diffraction and entropy score discrimination
P Padungweang, C Lursinsap, K Sunat
-
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study
WC Tjhi, KK Lee, T Hung, IWH Tsang, YS Ong, F Bard, V Racine. Cited by 6