For discovering correlation between the large set of data items the distributed association rule mining plays a very important role. In present the focus of research is going on for improving the efficiency of the algorithm for association rule mining and increasing the speed of the mining process...
A proof of NP-completeness for the PartitionedLS problem (not present in previous work); A new branch-and-bound algorithm that may be used in conjunction with PartLS-opt when the number of partitions is high; Information about how to update the algorithms to regularize the solutions; Informa...
a brand new partition structure named quadtree with nested multitype tree (QTMT) is applied in the latest codec H.266/VVC. The introduction of QTMT brings in superior encoding performance at the cost of great time-consuming. Therefore, a fast intra ...
Nonperturbative Approaches in Field Theory This paper optimizes the K-anonymity algorithm [10] known as Flexible Partition algorithm based on the rounding partition function, which regards time as an important attribute. A New Mining and Protection Method Based on Sensitive Data The partition function...
Computationalanalysisisessentialfortransformingthemassesofmicroarraydataintoamechanisticunderstandingofcancer.Herewepresentamethodforfindinggenefunctionalmodulesofcancerfrommicroarraydataandhaveappliedittocoloncancer.First,acoloncancergenenetworkandanormalcolontissuegenenetworkwereconstructedusingcorrelationsbetweenthegenes.Thenthe...
The first step of an agglomerative algorithm considers ( − 1)/2 possible fusions of observations to find the closest pair. This number grows quadratically with . For divisive hierarchical clustering, the first step would be to find the best split into two nonempty subsets, and if all ...
Hence, they assume that the data can be organized or manipulated in ways that maximize the performance of the partitioning algorithm. To partition an existing billion-node graph stored in a general-purpose graph system, we must take the data out of the system, convert it in- to a partition...
Analysis of accuracy and performance of big data using data mining techniques in Hadoop Mapreduce API Java layer, which provides the most basic programming interface, including InputFormate, Mapper, Partitioner, Reducer and OutputFormat five classes. An improved K-means algorithm application in distribu...
[2] Ester, Martin, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.”In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, 226–31. KDD’96. Portland, Oregon: ...
Partitioning large graphs is a recognised approach to addressing scalability issues in graph data management. However, if these partitionings are of a low quality then the performance of path queries (indeed, general pattern matching queries), greatly decreases [18]. Intuitively, any measure of this...