Concept of operations for knowledge discovery from Big Data across enterprise data warehouses

2013 ◽  
Author(s):  
Sreenivas R. Sukumar ◽  
Mohammed M. Olama ◽  
Allen W. McNair ◽  
James J. Nutaro
Keyword(s):  
Big Data ◽  
Knowledge Discovery ◽  
Data Warehouses ◽  
Concept Of Operations

Knowledge discovery in data warehouses

2000 ◽  
Vol 29 (3) ◽  
pp. 88-100 ◽  
Author(s):  
Themistoklis Palpanas
Keyword(s):  
Knowledge Discovery ◽  
Data Warehouses

SkipSJoin: A New Physical Design for Distributed Big Data Warehouses in Hadoop

2019 ◽  
pp. 255-263
Author(s):  
Yassine Ramdane ◽  
Nadia Kabachi ◽  
Omar Boussaid ◽  
Fadila Bentayeb
Keyword(s):  
Big Data ◽  
Physical Design ◽  
Data Warehouses

scholarly journals Context Awareness Technology Using Parallel Mining for Ambient Assisted Living System

2018 ◽  
Vol 7 (2.19) ◽  
pp. 52
Author(s):  
J Vivek ◽  
Gandla Maharnisha ◽  
Gandla Roopesh Kumar ◽  
Ch Karun Sagar ◽  
R Arunraj
Keyword(s):  
Health Care ◽  
Big Data ◽  
Knowledge Discovery ◽  
Assisted Living ◽  
Context Awareness ◽  
Health Care Services ◽  
Ambient Assisted Living ◽  
Living System ◽  
Health Condition ◽  
Parallel Mining

In  this  paper,  context  awareness  is  a  promising  technology  that  provides  health care services and a niche  area of big data paradigm. The   drift  in  Knowledge  Discovery  from  Data  refers  to  a  set  of  activities  designed  to refine and  extract  new knowledge from complex  datasets.  The   proposed  model  facilitates  a  parallel  mining  of  frequent item sets for Ambient Assisted Living (AAL) System [a.k.a. Health  Care [System]  of  big  data that  reside   inside  a  cloud  environment.  We  extend  a  knowledge  discovery framework for  processing  and  classifying  the  abnormal  conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate(HR) and storing  this data  sets  called  Big data  into Cloud to access from  anywhere   when  needed.   This   accessed data is used to compare the new data with it, which helps to know the patients health condition.  

scholarly journals Data Mining and Cloud Computing

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Robert Vrbić
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Data Warehouses ◽  
Cloud Data ◽  
Big Data Mining ◽  
New Knowledge ◽  
Flexible Infrastructure

Cloud computing provides a powerful, scalable and flexible infrastructure into which one can integrate, previously known, techniques and methods of Data Mining. The result of such integration should be strong and capacitive platform that will be able to deal with the increasing production of data, or that will create the conditions for the efficient mining of massive amounts of data from various data warehouses with the aim of creating (useful) information or the production of new knowledge. This paper discusses such technology - the technology of big data mining, known as Cloud Data Mining (CDM).

Sign in / Sign up

Export Citation Format

Share Document