The k-means clustering is one of the most popular clustering algorithms in data mining. Recently a lot of research has been concentrated on the algorithm when the dataset is divided into multiple parties or when the dataset is too large to be handled by the data owner. In the latter case,...
data.Wepresentatwo-partyalgorithmforefficientlydis- coveringfrequentitemsetswithminimumsupportlevels, withouteithersiterevealingindividualtransactionvalues. CategoriesandSubjectDescriptors H.2.8[DatabaseManagement]:DatabaseApplications— Datamining;H.2.4[DatabaseManagement]:Systems— ...
Then A can be stored in a sparse representation, which is kept in main memory, while the submatrices, also stored in some sparse representation, are kept in peripheral storage and brought to the main memory when required by the execution of the algorithm. This variant is the supersparse ...
Thus, every truly adjacent pair of nodes belonging to the same cluster are never disconnected after being connected in the first execution of Algorithm 2 in line 2: $${\mathbf {N}}_{i}^{\hat{{\mathcal {G}}}_{1}} \supseteq \{ X_{k} \in {\mathbf {N}}_{i}^{{\mathcal {...
In this scheme, the fluid and the solid solvers are executed sequentially. Because of this in the literature, this is also known as serial Schwarz procedure [48]. Within a time step, multiple iterations are performed to couple the different solvers. The algorithm executing the scheme is ...
. . , K−1, the algorithmis as follows. Agency a receives s a−1 = (R+ a−1 t=1 v t ) mod m, from which it can learn nothing about the actual values of v 1 , . . . , v a−1 . Agency a then computes and passes on to Agency a + 1 the quantity s a = (s...
A NEW ALGORITHM OF THE DATA MINING MODEL IN CLOUD COMPUTING BASED ON WEB FUZZY CLUSTERING ANALYSIS Cloud computing are Internet-based services to incr ease the use and delivery models, usually involving the Internet to provide easy to dynamically scalable an d often virtualized resources. To solve...
2. An Algorithm over Vertically Partitioned Multi-decision Table for Computing Global Attribute Core 一种基于垂直分布的多决策表全局属性核求解算法 www.ilib.cn 3. Privacy preserving association rule mining in vertically partitioned data 基于垂直型分布数据的隐私性保持关联规则挖掘 ilib.cn隐私...
Data mining classification algorithms are centralized algorithm and works on centralized database. In this information age, organizations uses distributed database. Since data mining of private data is one of the keys to success for an organization, it is a challenging task to implement data mining...
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...