… parallel A CS2; DS/A; Lang Be able to write a correct data-parallel program for shared-…
for data parallel: Array notations, SPMD, and parallel loops. Builds on shared memory topic …

… However, the vast number of species and the sheer volume of individual sequence
differences to examine (see data in this study) made this experiment cost and labor prohibitive. …

… the field of e learning education with the help of collaborative learning (learning from peers).
… consist of similarities, we consider the similarity between one cluster and another cluster to …

… clustering method was used to group similar learners to establish collaborative filteing
system for online … [Results] Compared with traditional collaborative filtering method, F-measure …

… control manipulation extraction method based on deep learning of data fragmentation,
using agglomerative hierarchical temporal clustering based on Levenshtein distance to obtain …

… pattern mining algorithm based on conditional patterns[J]. … model and reduces the data
redundancy between sub-tasks. … performance in the Hadoop cluster environment is analyzed and …

… In addition,for the users with very low contribution,we align their access web sequences
and clusters them.Secondly,a method that sets the node objective function with the multi-…

… spanning tree cluster” is adopted to reduce redundant dimensions. Second, to speed up
model construction and ensure the detection rate for the sequence over the data stream, we …

… of data mining and data warehouses … data mining system, data mining issues, prediction,
clustering, association rules, trends, and applications of data mining system as well as the data …

… Clustering and sequential pattern mining of online collaborative learning data. IEEE
Trans. on … Supporting online collaborative learning in small groups: Teacher feedback on …