Large data sets both in terms of the number of variables and cases may challenge the efficiency of pure sequential algorithms for learning the structure of a Bayesian network from data. Since the computational power of computers is ever increasing and access to computers supporting parallel processing...
Thus if we start with an empty bucket (i.e., N = 0), the proposed large data implementation of the tight clustering algorithm has the same order (O(n log (n))) of time complexity as the usual tight clustering algorithm with same choices of the parameters of the algorithms. ...
Structures for big data;Structures for massive data Definition Bloom filter(Bloom1970): Bloom filter is a bit-vector data structure that provides a compact representation of a set of elements. It uses a group of hash functions to map each element in a data setS= {s1,s2, …,sm} into a ...
compression and DATA BLOCK ENCODING doesn't help with the cell size check, as compress and data block encoding happens when flush memstore to hfile and compaction of hfile; HBase supports several different compression algorithms which can be enabled on a ColumnFamily. Data block encoding attempts...
Leaders clustering method is a fast one and can be used to derive prototypes called leaders from a large training set which can be used in designing a classifier. Recently nearest leader based classifier is shown to be a faster version of the nearest nei
Visualisation of single cells in two/three-dimensional space is one of the central tenets of single-cell data analysis. Since single-cell datasets contain tens to hundreds of thousands of features, non-linear dimension reduction algorithms have been considered ideal solutions for 2D/3D data visualisa...
One of the most challenging problems in data mining is to develop scalable algorithms capable of mining massive data sets whose sizes exceed the capacity o... XB Li - 《Decision Support Systems》 被引量: 144发表: 2006年 Clustering in Very Large Databases Based on Distance and Density Clusterin...
A large amount of a content database is commonly BLOB data. Remote BLOB Storage (RBS) allows this data to be stored outside of SQL Server, which makes it possible to have less expensive storage options and reduce content database size. Remote BLOB Storage is a library API set that is ...
Automatic Selection of Decision Tree Algorithm Based on Training Set Size In Data mining applications, very large trainingdata sets with several million records are common. Decision treesare powerful and popular technique for both classification andprediction. Many decision tree construction algorithms have...
e, Training reward increment during the training process under different scenarios and different algorithms. Solid lines represent the mean rewards and error bars are s.d. (n = 5). Source data Full size image In terms of optimal performance, Fig. 3a shows that our method reaches the ...