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Modeling Analytical Streams for Social Business Intelligence
2018
Informatics
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Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. ...
Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social network's contents and the company's analytical requests, as well as the enormous amount of noisy ...
• We propose a streaming architecture specially aimed at Social Business Intelligence.
• We propose a new method to model analytical streams for Social Business Intelligence. ...
doi:10.3390/informatics5030033
fatcat:g6p5evh4vvfpveje5rkxa7wwvy
Big Data Stream Analytics for Near Real-Time Sentiment Analysis
2015
Journal of Computer and Communications
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This phenomenon provides organizations with unprecedented opportunities to tap into big data to mine valuable business intelligence. ...
However, traditional business analytics methods may not be able to cope with the flood of big data. ...
Analyzing the sentiments of messages posted to social networks or online forums can generate countless business values for the organizations which aim to extract timely business intelligence about how ...
doi:10.4236/jcc.2015.35024
fatcat:hibfywzdavd7vo6tiav7xfyopq
Business intelligence addressing service quality for big data analytics in public sector
2019
Indonesian Journal of Electrical Engineering and Computer Science
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With the establishment of big data analytics framework, performance measurement can be enforced effortlessly using the principles of business intelligence maturity model and the technological stack comes ...
<span>With the inauguration of Big Data Analytics initiative nationally, many nations have participated and paved way for BDA ecosystem. ...
Emergence of Big Data in 2011 as the leading chapter in Business Intelligence and Analytics [6] , it was represented unusual data source (e.g., sensors, social media, streaming data, video and voice) ...
doi:10.11591/ijeecs.v16.i1.pp491-499
fatcat:whge2rq3i5aqlleedwx44puvou
BIBLIOMETRIC ANALYIS OF ARTIFICIAL INTELLIGENCE IN BUSINESS ECONOMICS
2019
Poslovna izvrsnost - Business excellence
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This paper aims to explore the research area of artificial intelligence with the emphasis on the business economics field. ...
Results provide systemic overview of the most influential authors, seminal papers and the most important sources for AI publication. ...
Third sub-stream of research is described with topics such as neural networks, forecast, simulation, optimization, agent based models, pricing, computational intelligence and hybrid modelling. ...
doi:10.22598/pi-be/2019.13.2.131
fatcat:guir4evkajew3ftq4qx5l46k6i
Business Intelligence and Analytics
2013
ACM Transactions on Management Information Systems
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Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and ...
The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. ...
can text analytics be performed for stream data? ...
doi:10.1145/2407740.2407741
fatcat:enjlhfzqfnfqvlv63axun5dvee
Preface
2020
2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)
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Juan Guerrero, for his help during the production process. ...
Lastly, but not the least, we are extremely thankful to all the authors for their academic input and participation in the virtual mode of conference. ...
Business Intelligence
Computer Science
Decision Making in Social Setting
Decision Making under Uncertainty
Decision Making with Multimedia
Decision Theory and Decision Sciences
Digital Market Design ...
doi:10.1109/icdsba51020.2020.00005
fatcat:awjxukrbtzhprgj4he22dd6nfq
PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data
[article]
2015
arXiv
pre-print
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integrated with sophisticated data mining algorithms and analytics tools for generating operational intelligence on the fly. ...
GeoData Cloud - a data architecture for storing and managing disparate datasets; ii. Mechanism to harvest real-time streaming data; iii. Data analytics framework; iv. ...
A novel feature is an analytics layer that input data for discovering intelligence in real-time. ...
arXiv:1507.05245v1
fatcat:taioonemgzf5rhpoceg27kgnb4
Deep neural network: Recognize Data Management of Artificial Intelligence in Retail
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Deep neural networks with the artificial intelligence on Machine Learning (ML) algorithms constitute the best design specifically to deal with vast amount of data for retail business. ...
Finally, system precede and follow a NoSQL layers of a model employs in-memory database compression techniques and executes data management challenges with large datasets successfully. ...
data and streams of events across the business database. ...
doi:10.35940/ijitee.j9779.0881019
fatcat:cp4x2k5gjvgsjc3sdsh2thkpp4
The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model
2018
Frontiers in Psychology
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Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or g) make independent contributions to performance. ...
Whilst in analytic tasks g has a stronger effect on performance at lower levels of EI competencies, our data comes short to show a positive interaction of EI and g in affecting performance on social tasks ...
Expected performance is shown in red for social courses and in blue for analytic courses. ...
doi:10.3389/fpsyg.2018.01532
pmid:30245651
pmcid:PMC6137254
fatcat:uvwnfjp2kza2rbopocir2tnsru
Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World
2022
Journal of Healthcare Engineering
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The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems. ...
In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. ...
data analytics services for enhancing business intelligence 2018 big data analytics in enterprise information enhancing business intelligence and Big data analytics model service-oriented architecture ...
doi:10.1155/2022/6967158
pmid:35281539
pmcid:PMC8913073
fatcat:gfjf2zrbefe6bhaarqw5l243ta
Data Analytics and Optimization for Decision Support
2019
Business & Information Systems Engineering
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for their help in finalizing this special issue. ...
We would like to express our gratitude to the authors for their contributions, the referees for ensuring the quality of the accepted papers, and the staff of the Editorial Office and Production Department ...
It also has a lot to do with empathy, emotionality and social intelligence, which largely elude measurability… a new field of intelligence analysis will emerge. ...
doi:10.1007/s12599-019-00591-6
fatcat:sziqj7iqb5g7tpy5jttkh56sxi
Survey Big Data Analytics, Applications and Privacy Concerns
2016
Indian Journal of Science and Technology
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Advancements in the big data analytics methods have posed different challenges in front of user. ...
Background/Objectives: The sources of big data are social media, enterprise data, unstructured data, sensor and clickstream data. ...
The definitions for big data are leveraging on the ability of business intelligence, competitive intelligence, enhanced insight and decision making. ...
doi:10.17485/ijst/2016/v9i17/93028
fatcat:rxubq63bwzhbtka4cfzbgrtc7u
Big data reduction framework for value creation in sustainable enterprises
2016
International Journal of Information Management
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We also propose a framework for early data reduction at customer end and present a business model for end-toend data reduction in enterprise applications. ...
The article further presents a business model canvas and maps the future application areas with its nine components. ...
For example, enterprises collect social media data streams such as that provided by Twitter, Facebook, and YouTube. ...
doi:10.1016/j.ijinfomgt.2016.05.013
fatcat:4a44xeyb4rfkbf4pxbizijdjty
Role of Big Data in Decision Making
2018
Operations and Supply Chain Management An International Journal
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He has over five years of experience of PG teaching and research experience in the area of operations management, supply chain management, lean, information technology and business analytics. ...
Here we explore how big data can be used to make smart and real-time decisions for improving business results. ...
These support decisions making process for business executives with the help of social media data, competitive intelligence, cost and time reduction strategies, supply chain analytics, web analytics etc ...
doi:10.31387/oscm0300198
fatcat:47cqlmhttnczzb52xv4dym7dvm
Social Media Analytics as a Business Intelligence Practice:Current Landscape & Future Prospects
2014
Journal of Internet Social Networking and Virtual Communities
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Social Media Analytics As a Business Intelligence Practice For the purposes of this paper, we adopt a business intelligence (BI) perspective of social media analytics. ...
for utilizing various social media measurements, and in creating an effective implementation strategy for delivering social media analytics as part of day-to-day business intelligence. ...
doi:10.5171/2014.920553
fatcat:sgw7635ckrbj7fhm5deqlrrgwe
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