Business Intelligence From E -Connotations to Technological Trends

Abstract This article shows most of the E -connotations when approaching the Business Intelligence (BI) field not just as methodology but also as practical implementations meant to serve as a support for organizational decisions. In the last part of the paper the focus is moved to nowadays technological possibilities and trends related to Business Intelligence. Some aspects as the specificity of BI applications, their promises, the problem of real-time response and some other limitations and resolved issues related to their capability to respond to ad-hoc organizational changes by changing their behaviour and feed-back are taken into consideration.

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A Resource Management Algorithm for Real-Time Response of Mobile Ad Hoc Cloud in Swarm Robotic System

2018 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2018.8664852 ◽

2018 ◽

Author(s):

Qirong Tang ◽

Jingtao Zhang ◽

Fangchao Yu ◽

Yuan Zhang ◽

Zhongqun Zhang

Keyword(s):

Resource Management ◽

Real Time ◽

Ad Hoc ◽

Robotic System ◽

Time Response ◽

Management Algorithm ◽

Mobile Ad Hoc

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Microphysiometry to Evaluate Real-Time Response of Mammary Epithelial Cells to IGF-I

Critical Reviews in Biomedical Engineering ◽

10.1615/critrevbiomedeng.v28.i12.360 ◽

2000 ◽

Vol 28 (1-2) ◽

pp. 209-211 ◽

Cited By ~ 2

Author(s):

Rose Marie Robinson ◽

R. Michael Akers ◽

Kimberly E. Forsten

Keyword(s):

Epithelial Cells ◽

Real Time ◽

Mammary Epithelial Cells ◽

Mammary Epithelial ◽

Time Response ◽

Igf I

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REAL-TIME RESPONSE OF STREAMFLOW AND SPRING DISCHARGE TO PRECIPITATION RECHARGE EVENTS IN ICEHOUSE CANYON WATERSHED, EASTERN SAN GABRIEL MOUNTAINS, CALIFORNIA

10.1130/abs/2016cd-274722 ◽

2016 ◽

Author(s):

Danny Miranda ◽

◽

Jonathan A. Nourse

Keyword(s):

Real Time ◽

Time Response ◽

Spring Discharge ◽

San Gabriel Mountains

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Proceedings of Real-Time Business Intelligence and Analytics

10.1145/3350489 ◽

2019 ◽

Keyword(s):

Real Time ◽

Business Intelligence

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MRTP: a multiflow real-time transport protocol for ad hoc networks

IEEE Transactions on Multimedia ◽

10.1109/tmm.2005.864347 ◽

2006 ◽

Vol 8 (2) ◽

pp. 356-369 ◽

Cited By ~ 42

Author(s):

Shiwen Mao ◽

D. Bushmitch ◽

S. Narayanan ◽

S.S. Panwar

Keyword(s):

Ad Hoc Networks ◽

Real Time ◽

Ad Hoc ◽

Transport Protocol ◽

Hoc Networks

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Research on the Distributed Characteristics of the Delay for Network Coding Based Real-Time Multicast in MANETs

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.530-531.768 ◽

2014 ◽

Vol 530-531 ◽

pp. 768-772

Author(s):

Guo Ping Tan ◽

Lin Feng Tan ◽

Lei Cao ◽

Mei Yan Ju

Keyword(s):

Maximum Likelihood ◽

Probability Distribution ◽

Network Coding ◽

Real Time ◽

Lognormal Distribution ◽

Ad Hoc ◽

Estimation Method ◽

Likelihood Estimation ◽

Actual Distribution ◽

Delay Distribution

For the study of the applications of partial network coding based real-time multicast protocol (PNCRM) in Mobile Ad hoc networks, the researches should be developed in the probability distribution of delay. In this paper, NS2 is used to obtain the delay of data packets through simulations. Because the delay does not obey the strict normal distribution, the maximum likelihood estimate method based on the lognormal distribution is used to process the data. Using MATLAB to obtain the actual distribution of the natural logarithm of delay, then drawing the delay distribution with the maximum likelihood estimation method based on the lognormal distribution, the conclusion that the distributions obtained by the above mentioned methods are basically consistent can be obtained. So the delay distribution of PNCRM meets the lognormal distribution and the characteristic of delay probability distribution can be estimated.

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