NDLI: Message-driven FP-growth

Please wait, while we are loading the content...

Nordic Symposium on Cloud Computing and Internet Technologies (NordiCloud)

Software architecture tool demonstrations

Workshop on SHAring and Reusing architectural Knowledge (SHARK 2012)

Second international workshop on variability in software architecture

Architectures and platforms for knowledge discovery from data: workshop at WICSA/ECSA 2012

Cloud infrastructure for providing tools as a service: quality attributes and potential solutions

VULCAN: architecture-model-based software development workbench

"Just-in-time" architectural knowledge for developers

Modeling variability in product lines using domain quality attribute scenarios

Data management requirements for a knowledge discovery platform

Elements for a cloud-based development environment: online collaboration, revision control, and continuous integration

Architectural decision identification in architectural patterns

The role of variability patterns in multi-tenant business software

Formal concept analysis for identifying mobile subscribers: a case study in a governmental transition project

An architecture framework for application-managed scaling of cloud-hosted relational databases

A reference architecture template for software-intensive embedded systems

How variation changes when an embedded product ceases to be embedded?

Unified analytics platform for big data

Message-driven FP-growth

Aligning architecture knowledge management with Scrum

Configurator-as-a-service: tool support for deriving software architectures at runtime

A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data

Delivering ICT infrastructure for biomedical research

Graph-based implicit knowledge discovery from architecture change logs

Reference architectures and variability: current status and future perspectives

Does cloud computing deliver the promised benefits for IT industry?

A case study on co-evolution of software artifacts using integrated views

Variability viewpoint for introducing variability in software architecture viewpoints

Framework for monitoring and testing web application scalability on the cloud

A lean and mean strategy for migration to services

A first account on stigmergic information systems and their impact on platform development

Enough about standardization, let's build cloud applications

Towards bridging the communication gap between consumers and providers in the cloud

Towards component-based software engineering of cloud applications

myTrustedCloud: trusted cloud infrastructure for security-critical computation and data management

Message-driven FP-growth

Content Provider	ACM Digital Library
Author	Neerbek, Jan
Abstract	Frequent itemset mining finds frequently occurring itemsets in transactional data. This is applied to diverse problems such as decision support, selective marketing, financial forecast and medical diagnosis. The cloud, computation as an utility service, allows us to crunch large mining problems. There are a number of algorithms for doing frequent itemset mining, but none are out-of-the-box suited for the cloud, requiring large data structures to be synchronized across the network. One of the best algorithms for doing frequent itemset mining is the known FP-growth (Frequent Patterns growth). We develop a cloud-enabled algorithmic variant for frequent itemset mining that scales with very little communication and computational overhead and even, with only one worker node, is faster than FP-growth. We develop the concept of a postfix path and show how this allows us to lower the communicational cost and leads to adjustable work sizes. This concept provides a very flexible algorithmic solution that can be applied to a wide variety of different problem sizes and setups.
Starting Page	29
Ending Page	36
Page Count	8
File Format	PDF
ISBN	9781450315685
DOI	10.1145/2361999.2362005
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-08-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud Scaling Fp-growth Apriori Data mining Distributed computing Market basket analysis Communication
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth (fp-growth) : Studi Kasus Percetakan Pt. Gramedia

Perancangan Dan Pembuatan Aplikasi Data Mining Multidimensional Market Basket Analysis Menggunakan Algoritma Fp-tree Untuk Toko X

Data stream analytics and mining in the cloud

A comparative study on market basket analysis and apriori association technique

Implementasi Algoritma Apriori Dan Fp-Growth Dalam Market Basket Analysis Pembelian Obat Pada Suatu Apotek

Parallel Hierarchical Clustering on Market Basket Data

Market Basket Analysis Using Apriori and FP-Growth for Analysis Consumer Expenditure Patterns at Berkah Mart in Pekanbaru Riau

A survey on association rule mining for market basket analysis and apriori algorithm.

Mining data association based on a revised FP-growth algorithm

Message-driven FP-growth

Similar Documents

Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth (fp-growth) : Studi Kasus Percetakan Pt. Gramedia

Perancangan Dan Pembuatan Aplikasi Data Mining Multidimensional Market Basket Analysis Menggunakan Algoritma Fp-tree Untuk Toko X

Data stream analytics and mining in the cloud

A comparative study on market basket analysis and apriori association technique

Implementasi Algoritma Apriori Dan Fp-Growth Dalam Market Basket Analysis Pembelian Obat Pada Suatu Apotek

Parallel Hierarchical Clustering on Market Basket Data

Market Basket Analysis Using Apriori and FP-Growth for Analysis Consumer Expenditure Patterns at Berkah Mart in Pekanbaru Riau

A survey on association rule mining for market basket analysis and apriori algorithm.

Mining data association based on a revised FP-growth algorithm

Message-driven FP-growth