Skip to main content

Advanced Search

Projected result for your current search: 0

Search Operators:

You can use operators in your search query to narrow down your results even more. Click on the search operator to see an explanation of how it works.
Finds documents with exactly this word group, in exactly this word order and spelling (e.g. "employer branding").
Finds documents with both search terms (e.g. sales AND bonus).
Finds documents with one or the other search term (e.g. porsche OR volkswagen).
Finds documents with all search terms. Blank space is understood as AND (e.g. man robot production).
Finds documents with no appearance of the word behind NOT (e.g. ford NOT "harrison ford").
Finds documents where the search term is mentioned at least "n" times."n" may be any number (e.g. COUNT(gear)>8).
Finds documents with both search terms in any word order, permitting "n" words as a maximum distance between them. Best choose between 15 and 30 (e.g. NEAR(recruit, professionals, 20)).
Finds documents with the search term in word versions or composites. The asterisk * marks whether you wish them BEFORE, BEHIND, or BEFORE and BEHIND the search term (e.g. lightweight*, *lightweight, *lightweight*).
Finds documents with the search term in different spellings. "?" allows only one character (e.g. organi?ation).
Special characters are understood as AND (e.g. Miller Bros. & Sons).

Semantic Search

powered by (Link opens in a new window)
loading …
Log in
Top

Frequent Item-Set Mining Using Lexicographical Sequential Tree Construction on Map Reduce Framework

  • 2020
  • OriginalPaper
  • Chapter
Published in:
Authors
P. Venkateswara Rao
D. Srinivasa Rao
V. Sucharita
Published in
Advances in Computational and Bio-Engineering
Publisher
Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Frequent itemset mining is playing an important research role for many aspirants all over the world. In all the research aspects efficiency and scalability are main retrospects which are being improved in FIM which is intensive. In the current scenario, the implementation of a sequential growth algorithm on the big data map reduce framework the lexicographic sequential tree construction for the identification of the frequent itemsets using the lexicographical order over the databases of transaction without incorporating any extreme search methodologies. The result signifies a wide variety of large database executions to prove the execution of this methodology as an efficient and improved scalability of the methodology. Further the incorporation of this technique with other pattern mining is quite beneficial on big data.

Already a customer? Then log in here to gain access.

Customer login

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

  • more than 130.000 books
  • more than 540 journals

from the following subject areas:

  • Automotive
  • Construction + Real Estate
  • Business IT + Informatics
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology
  • Insurance + Risk


Secure your knowledge advantage now!

inform now

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

  • more than 75.000 books
  • more than 390 journals

from the following specialised fileds:

  • Automotive
  • Business IT + Informatics
  • Construction + Real Estate
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology





 

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

  • more than 100.000 books
  • more than 340 journals

from the following specialised fileds:

  • Construction + Real Estate
  • Business IT + Informatics
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Insurance + Risk



Secure your knowledge advantage now!

inform now

For explorers: Get to know our platforms better with a free registration.

Register for free
previous chapter Secure Data Transfer Through Whirlpool—A Miyaguchi-Preneel Mode
next chapter Deep Learning Based Recommender System Using Sentiment Analysis to Reform Indian Education
Title
Frequent Item-Set Mining Using Lexicographical Sequential Tree Construction on Map Reduce Framework
Authors
P. Venkateswara Rao
D. Srinivasa Rao
V. Sucharita
Copyright Year
2020
Book
Advances in Computational and Bio-Engineering

Print ISBN: 978-3-030-46938-2

Electronic ISBN: 978-3-030-46939-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-46939-9_12
This content is only visible if you are logged in and have the appropriate permissions.

Premium Partner

    Image Credits
    Neuer Inhalt/© ITandMEDIA, Nagarro GmbH/© Nagarro GmbH, AvePoint Deutschland GmbH/© AvePoint Deutschland GmbH, AFB Gemeinnützige GmbH/© AFB Gemeinnützige GmbH, USU GmbH/© USU GmbH, Ferrari electronic AG/© Ferrari electronic AG