• No results found

data partitioning

Using Statistical Analysis to Improve Data Partitioning in Algorithms for Data Parallel Processing Implementation

Using Statistical Analysis to Improve Data Partitioning in Algorithms for Data Parallel Processing Implementation

... for data partitioning and load ...a data-partitioning plan that can optimize performance without running the program on the actual data ...the data partitioning ...input ...

79

Automated Data Partitioning for Highly Scalable and Strongly Consistent Transactions

Automated Data Partitioning for Highly Scalable and Strongly Consistent Transactions

... the data in main memory and operating upon it using transactions expressed in the application’s native programming language, as opposed to a query language like ...the data organized in fine- grained, ...

6

Self organised direction aware data partitioning algorithm

Self organised direction aware data partitioning algorithm

... fully data-driven algorithm, named Self-Organised Direction Aware (SODA) data partitioning and forming data clouds is ...Empirical Data Analytics (EDA) operators, the proposed algorithm ...

28

Local modes based free shape data partitioning

Local modes based free shape data partitioning

... new data partitioning algorithm, named “local modes-based data partitioning”, is ...entirely data-driven and free from any user input and prior ...the data samples and results in ...

8

Dimensionality Reduction and Data Partitioning with Feature Hybridization Scheme

Dimensionality Reduction and Data Partitioning with Feature Hybridization Scheme

... Data mining and machine learning methods are applied to extract knowledge from large ...the data mining and machine learning applications. The high dimensional data analysis requires huge ...

5

Effective Data Retrieval for Virtual Chunk and Data Partitioning Using Encryption Technique

Effective Data Retrieval for Virtual Chunk and Data Partitioning Using Encryption Technique

... Data partitioning is normally done for manageability, performance or availability reasons, as for load ...system, Data compression could ameliorate the I/O pressure of data-intensive ...

7

Data Partitioning in Frequent Itemset on Bigdata Using Hadoop

Data Partitioning in Frequent Itemset on Bigdata Using Hadoop

... of data tend to be extremely large and/or ii) A MinSup threshold is very ...of data) easy and ...efficient data partitioning approach describe IBDP, PATD algorithm mines every data ...

6

The Data Aggregation Privacy Protection Algorithm of Body Area Network Based on Data Partitioning

The Data Aggregation Privacy Protection Algorithm of Body Area Network Based on Data Partitioning

... of data collected by the body area network are closely related to user's personal ...privacy data is vulnerable to the attacker's eavesdropping, tampering and other security ...privacy data is ...

5

Data Partitioning Method for Mining Frequent Itemset Using MapReduce

Data Partitioning Method for Mining Frequent Itemset Using MapReduce

... Data partitioning is done using voronoi diagram based partitioning [8]. In this technique spaces are divided into number of parts. In prior a group of set which is referred as pivots (seeds) is ...

8

A Method for Autonomous Data Partitioning

A Method for Autonomous Data Partitioning

... free-shape data partitioning method named “autonomous data partitioning ...underlying data distribution and ensemble properties of the empirically observed data using the natural ...

25

Cloud Data Partitioning For Distributed Load Balancing With Map Reduce

Cloud Data Partitioning For Distributed Load Balancing With Map Reduce

... server. Thus the whole performance of the cloud service will notaffect. It aims at having a backup plan in case system fails even partially. As well as work is done to be maintain system stability. There are requirements ...

6

Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

... There are numerous procedures have been imagined to mine incessant itemsets from databases. These methods function admirably practically speaking on common datasets, however they are not relevant for genuine Big ...

6

Cancer data partitioning with data structure and difficulty independent clustering scheme

Cancer data partitioning with data structure and difficulty independent clustering scheme

... Clustering is the process of identifying the underlying groups or structures in a set of patterns without the use of class labels. While there have been a large set of clustering algorithms all have their limitations in ...

8

Hadoop Cluster based Data Partitioning Using Frequent Itemset Mining with FiDoop-DP

Hadoop Cluster based Data Partitioning Using Frequent Itemset Mining with FiDoop-DP

... Visit Itemset Mining as one of the central routine of information examination and a fundamental apparatus of vast scale data collection additionally bears a serous enthusiasm for Privacy Preserving Data ...

5

Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud

Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud

... providing data security in terms of effective ...confidential data such as medical reports, official secrets and organization resources on ...proposed data aggregation algorithm for forming effective ...

6

Implementation of Secured Data Using Key Partitioning and Ida Method

Implementation of Secured Data Using Key Partitioning and Ida Method

... in data grid we provide data fragmentation approaches and it is combined with dynamic ...consider data partitioning (both secret sharing and erasure coding) and dynamic replication in ...

5

Effective and Efficient Re-optimization Method for Data-Stream Partitioning at Runtime

Effective and Efficient Re-optimization Method for Data-Stream Partitioning at Runtime

... network data is now getting generated in huge. This generated data is processed in terms of ...process, partitioning input streams in keeping with the values of specific attributes, or ...

7

Multidimensional Indexing Methods for Structuring the Space Description of Still Images

Multidimensional Indexing Methods for Structuring the Space Description of Still Images

... the data partitioning. Data vectors are grouped in a hierarchical manner from their proximity in the data space and based on a distance ...objects. Partitioning saturated nodes selects ...

5

PARALLEL RULE MINING WITH DYNAMIC DATA DISTRIBUTION UNDER HETEROGENEOUS CLUSTER ENVIRONMENT

PARALLEL RULE MINING WITH DYNAMIC DATA DISTRIBUTION UNDER HETEROGENEOUS CLUSTER ENVIRONMENT

... balancing; data are equally partitioned and distributed among computing nodes of a ...among data leads to poor data locality. The absence of data collocation increases the data ...

5

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

... Optimal data partitioning is the best way to achieve resource utilization and load balance, in this paper a new partitioning algorithm depends on average called Hams algorithm achieve the nearest ...

5

Show all 10000 documents...

Related subjects