SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Transforming petroleum downstream sector through big data: a holistic review
5 references·4 citing·42 second hop
Transforming petroleum downstream sector through big data: a holistic review (2020)Transforming petroleum downstream sector …Online big data-driven oil consumption forecasting with Google trends (2018)Online big data-driven oil co…Big Data analytics in oil and gas industry: An emerging trend (2018)Big Data analytics in oil and…A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)A Brief Introduction on Big D…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities (1998)Data envelopment analysis vs.…Potential application of generative artificial intelligence and machine learning algorithm in oil and gas sector: Benefits and future prospects (2024)Potential application of gene…A Comprehensive Review on Big Data for Industries: Challenges and Opportunities (2022)A Comprehensive Review on Big…Optimization Study of Multidimensional Big Data Matrix Model in Enterprise Performance Evaluation System (2021)Optimization Study of Multidi…Comprehensive review of text-mining applications in finance (2020)Comprehensive review of text-…Measuring the efficiency of decision making units (1978)A Procedure for Ranking Efficient Units in Data Envelopment Analysis (1993)Data Envelopment Analysis: Theory, Methodology, and Applications (1994)Improving discrimination in data envelopment analysis: PCA–DEA or variable reduction (2009)An epsilon-based measure of efficiency in DEA – A third pole of technical efficiency (2010)Environmental efficiency analysis of transportation system in China: A non-radial DEA approach (2013)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Quantifying Trading Behavior in Financial Markets Using Google Trends (2013)Improved EEMD-based crude oil price forecasting using LSTM networks (2018)Oil financialization and volatility forecast: Evidence from multidimensional predictors (2019)Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions (2021)Analytics in Oil and Gas: The Big Deal About Big Data (2013)Interrelationship between big data and knowledge management: an exploratory study in the oil and gas sector (2017)The importance of science, technology, engineering, and mathematics (STEM) education to enhance students’ critical thinking skill in facing the industry 4.0 (2020)Big data applications: overview, challenges and future (2024)Efficient Capital Markets: II (1991)Efficient Capital Markets: II (1991)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Exploring public attention about green consumption on Sina Weibo: Using text mining and deep learning (2021)Artificial intelligence and machine learning in finance: A bibliometric review (2022)A literature survey of corporate failure prediction models (2023)A study on investments in the big data-driven supply chain, performance measures and organisational performance in Indian retail 4.0 context (2019)Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model (2019)Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration (2022)From Databases to Big Data (2012)Big data: Issues, challenges, tools and Good practices (2013)Customer engagement in a Big Data world (2017)Big data analytics for healthcare industry: impact, applications, and tools (2018)Remote sensing big data computing: Challenges and opportunities (2014)The Challenges of Data Quality and Data Quality Assessment in the Big Data Era (2015)Big data analytics and application for logistics and supply chain management (2018)Advanced Techniques in Data Ingestion and Pipelining for Scalable Big Data Platforms: A Comprehensive Review (2024)Artificial Intelligence of Big Data for Analysis in Organizational Decision-Making (2025)Embedding-Based decision support framework for large-scale content analysis (2025)Practical Issues in Structural Modeling (1987)Structural equation modelling: Adjudging model fit (2006)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)The Real-Time City? Big Data and Smart Urbanism (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Big Data: A Survey (2014)
this work references cited by second hop

References

  • 2011Big data: The next frontier for innovation, competition, and productivity5,203 cited
  • 2015A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology418 cited
  • 2018Big Data analytics in oil and gas industry: An emerging trend298 cited
  • 1998Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities257 cited
  • 2018Online big data-driven oil consumption forecasting with Google trends236 cited

Cited by

  • 2020Comprehensive review of text-mining applications in finance169 cited
  • 2022A Comprehensive Review on Big Data for Industries: Challenges and Opportunities52 cited
  • 2024Potential application of generative artificial intelligence and machine learning algorithm in oil and gas sector: Benefits and future prospects35 cited
  • 2021Optimization Study of Multidimensional Big Data Matrix Model in Enterprise Performance Evaluation System13 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work