A review on condition-based maintenance optimization models for stochastically deteriorating system, Reliability Engineering & System Safety, vol.157, pp.54-63, 2017. ,
Big data analytics and business failures in data-rich environments: An organizing framework, Computers in Industry, vol.105, pp.204-212, 2019. ,
Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab, Reliability Engineering and System Safety, vol.115, pp.161-169, 2013. ,
Digitalisation as an enabler of circular economy, Procedia CIRP, vol.73, pp.45-49, 2018. ,
Structuring data for intelligent predictive maintenance in asset management, 16th IFAC Symposium on Information Control Problems in Manufacturing, 2018. ,
, The forgotten step in CRISP-DM and ASUM-DM methodologies, pp.2019-2022
The emergence of circular economy: A new framing around prolonging resource productivity, Journal of Industrial Ecology, vol.21, issue.3, pp.603-614, 2017. ,
Towards a sufficiency-driven business model: Experiences and opportunities, Environmental Innovation and Societal Transitions, vol.18, pp.41-61, 2016. ,
The role of digital technologies to overcome circular economy challenges in pss business models: an exploratory case study, Procedia CIRP, vol.73, pp.216-221, 2018. ,
Step-by-step data mining guide, Tech. rep, 2000. ,
Introducing data science: big data, machine learning, and more, using Python tools, p.12, 2016. ,
Data science and prediction, 2012. ,
, Domino Data Lab: Key factors on the journey to become model-driven -a survey report, 2018.
, Ellen MacArthur Foundation: Towards a circular economy and business rationale for an accelerated transition, 2013.
, Ellen MacArthur Foundation: Delivering the circular economy: A toolkit for policymakers, 2015.
, Ellen MacArthur Foundation: Growth within: a circular economy vision for a competitive europe, Ellen MacArthur Foundation Cowes, 2015.
, Ellen MacArthur Foundation: Towards a circular economy: business rationale for an accelerated transition, 2015.
, Ellen MacArthur Foundation: Intelligent assets. unlocking the circular economy potential, 2016.
, Ellen MacArthur Foundation: Artificial intelligence and the circular economy, 2019.
Big data systems meet machine learning challenges: Towards big data science as a service, Big data research, 2018. ,
From Data Mining to Knowledge Discovery in Databases, 1996. ,
, Why your it project may be riskier than you think, 2011.
Developing the circular economy in china: Challenges and opportunities for achieving'leapfrog development, The International Journal of Sustainable Development & World Ecology, vol.15, issue.3, pp.231-239, 2008. ,
A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems, Journal of Cleaner production, vol.114, pp.11-32, 2016. ,
How circular is the global economy: An assessment of material flows, waste production, and recycling in the european union and the world in 2005, Journal of Industrial Ecology, vol.19, issue.5, pp.765-777, 2015. ,
A framework for data-driven workflow management: modeling, verification and execution, International Conference on Database and Expert Systems Applications, pp.239-253, 2013. ,
, Practical sampling, vol.21, 1990.
A prediction model for co2 emission from manufacturing industry and construction in malaysia, 2015 International Conference on Space Science and Communication (IconSpace), pp.469-472, 2015. ,
, IBM: Analytics solutions unified method -implementations with agile principles, 2016.
Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda, Technological Forecasting and Social Change, 2017. ,
An introduction to statistical learning, vol.112, 2013. ,
Factors influencing big data decisionmaking quality, Journal of Business Research, vol.70, pp.338-345, 2017. ,
Sensor data analysis and anomaly detection using predictive analytics for process industries, 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), pp.1-8, 2015. ,
Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, vol.127, pp.221-232, 2017. ,
Creating business value with analytics, MIT Sloan Management Review, vol.53, issue.1, p.57, 2011. ,
Application of big data technology in scientific research data management of military enterprises, Procedia Computer Science, vol.147, pp.556-561, 2019. ,
A review and future direction of agile, business intelligence, analytics and data science, International Journal of Information Management, vol.36, issue.5, pp.700-710, 2016. ,
Machinery health prognostics: A systematic review from data acquisition to rul prediction, Mechanical Systems and Signal Processing, vol.104, pp.799-834, 2018. ,
A data-driven method based on deep belief networks for backlash error prediction in machining centers, Journal of Intelligent Manufacturing, pp.1-13, 2017. ,
Towards circular economy implementation: a comprehensive review in context of manufacturing industry, Journal of Cleaner production, vol.115, pp.36-51, 2016. ,
Experiencing sax: a novel symbolic representation of time series, Data Mining and knowledge discovery, vol.15, issue.2, pp.107-144, 2007. ,
Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model, Reliability Engineering & System Safety, vol.168, pp.200-209, 2017. ,
Big data: the management revolution, Harvard business review, vol.90, issue.10, pp.60-68, 2012. ,
From data science to value creation, International Conference on Exploring Services Science, pp.173-181, 2017. ,
Data science for building energy management: A review, Renewable and Sustainable Energy Reviews, vol.70, pp.598-609, 2017. ,
The impact of marketing capability, operations capability and diversification strategy on performance: A resource-based view, Industrial Marketing Management, vol.39, issue.2, pp.317-329, 2010. ,
Model and experimental development for business data science, International Journal of Information Management, vol.36, issue.4, pp.607-617, 2016. ,
Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study, Scientometrics, vol.111, issue.1, pp.463-492, 2017. ,
Data science in physical medicine and rehabilitation: Opportunities and challenges. Physical Medicine and Rehabilitation, Clinics of North America, 2019. ,
The emergent role of digital technologies in the circular economy: A review, Procedia CIRP, vol.64, pp.19-24, 2017. ,
Current status of machine prognostics in conditionbased maintenance: A review, International Journal of Advanced Manufacturing Technology, vol.50, issue.1-4, pp.297-313, 2010. ,
Crisp-dm, still the top methodology for analytics, data mining, or data science projects, KDD News, 2014. ,
Business model innovation in a circular economy reasons for nonacceptance of circular business models, Open journal of business model innovation, vol.1, issue.11, 2015. ,
Combining process guidance and industrial feedback for successfully deploying big data projects, Open Journal of Big Data (OJBD), vol.3, issue.1, pp.26-41, 2017. ,
How smart, connected products are transforming competition, Harvard business review, vol.92, issue.11, pp.64-88, 2014. ,
Data Science for Business: What you need to know about data mining and data-analytic thinking, 2013. ,
Towards green sensing virtual enterprises: Interconnected sensing enterprises, intelligent assets and smart products in the cyber-physical circular economy, IFAC-PapersOnLine, vol.50, issue.1, pp.11719-11724, 2017. ,
, , pp.2019-2023
Big Data MBA: Driving Business Strategies with Data Science, 2015. ,
Exploring the challenges for circular business implementation in manufacturing companies: An empirical investigation of a pay-per-use service provider. Resources, Conservation and Recycling, vol.135, pp.3-13, 2018. ,
Machine learning for predictive maintenance: A multiple classifier approach, IEEE Transactions on Industrial Informatics, vol.11, issue.3, pp.812-820, 2015. ,
Data scientists aren't domain experts, IT Professional, vol.15, issue.6, pp.12-17, 2013. ,
Management challenges in creating value from business analytics, European Journal of Operational Research, vol.261, issue.2, pp.626-639, 2017. ,
Case research in operations management, Researching operations management, pp.176-209, 2010. ,
Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management, Journal of Business Logistics, vol.34, issue.2, pp.77-84, 2013. ,
Crisp-dm: Towards a standard process model for data mining, Proceedings of the 4th international conference on the practical applications of knowledge discovery and data mining, pp.29-39, 2000. ,
, , 2014.
Applied social research methods series case study research: Design and methods, 1984. ,