共 50 条
- [1] Receptor-based virtual screening of very large chemical datasets. [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2000, 220 : U197 - U197
- [2] Receptor-based virtual screening of very large chemical datasets. [J]. RATIONAL APPROACHES TO DRUG DESIGN, 2001, : 372 - 381
- [4] Applying ligand docking technology to large datasets. [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1999, 217 : U643 - U643
- [5] An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets. [J]. ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 2012, 243 : 69 - 78
- [6] Support vector machines with clustering for training with very large datasets [J]. METHODS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2002, 2308 : 346 - 354
- [7] Orthology Detection Combining Clustering and Synteny for Very Large Datasets [J]. PLOS ONE, 2014, 9 (08):
- [8] An improved MapReduce Design of Kmeans for clustering very large datasets [J]. 2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2015,
- [10] Clustering Very Large High-dimentional Datasets Based Entropy With MapReduce [J]. 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1210 - 1215