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...n [[memory]] and their [[social learning theory|social learning]] with the knowledge points in the social sharing library. It has been used for solving [[contin ...tate in the problem space <math>S</math>. In SCO, each state is called a ''knowledge point'', and the function <math>f</math> is the ''goodness function''. ...

...ooley-Tupy theorem''' is an economics theorem which measures the growth in knowledge resources over time at individual and population levels. <math>Percentage \ Change \ in \ Knowledge \ Resources = ...

...dcore.com/blog/articles/marketing-strategy/customer-acquisition-cost-cac-a-management-concept-worth-knowing/|access-date=2021-09-02|website=Adcore|language=en-US * [[Customer acquisition management]] ...

*Describing the job content of the work, by indicating the skill, knowledge, etc. ..., P. F., McLaren, T. S. ''Cost Analysis and Estimating for Engineering and Management'', Prentice Hall, 2004, {{ISBN|978-0-13-142127-1}}</ref>- ...

..., as well as a tool for refining their decision knowledge and facilitating knowledge sharing in a scalable manner. ...ems. The process of capturing semantics within a community is a process of knowledge acquisition. ...

...alysis]]<ref>Project Management Body of Knowledge: 5th Ed (2013). Project Management Institute Chapter 6</ref> to represent the uncertainty of the value of som ...ular shape that does not match the smoother shape that typifies subjective knowledge. ...

...nter for Data Science and Service Research Graduate School of Economic and Management Tohoku University Japan, May 2016|access-date=13 July 2019}}</ref> Her bank ...date=7 July 2019}}</ref><br>Shirata graduated from the Doctoral Program in Management and Public Policy, [[University of Tsukuba]]. In 1994 she was awarded a Mas ...

...cteristics that are measured on a continuous scale. This plan requires the knowledge of the [[statistical model]] (e.g. [[normal distribution]]). The historical ...cal Analysis for Scientific and [[Industrial Research]] and Production and Management Engineering. ...

...ble. This is because the greater the R&D, the closer a company gets to the knowledge frontier, and accordingly, the less likely it can use spillovers. Instead, ...ble. This is because the greater the R&D, the closer a company gets to the knowledge frontier. Instead, Knott proposed and found, it was not that spending more ...

...(individual words or entire documents) that uses a document corpus as a [[knowledge base]]. Specifically, in ESA, a word is represented as a column vector in t ...ottleneck using Wikipedia: enhancing text categorization with encyclopedic knowledge |conference=Proc. 21st National Conference on Artificial Intelligence (AAAI ...

...Uncertain Measure, ''[[International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems]]'', Vol.17, No.3, 419-426, 2009. ...sures, ''Proceedings of Tenth National Youth Conference on Information and Management Sciences'', August 3–7, 2008, Luoyang, pp.&nbsp;23–26. ...

...-based clustering|journal=Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery|date=May 2011|volume=1|issue=3|pages=231–240|doi=10.1002/widm.30| | conference = ACM SIGMOD international conference on Management of data ...

{{Short description|Type of Knowledge Graph Management System}} ...rg |date=2018-05-01 |title=The Vadalog system: datalog-based reasoning for knowledge graphs |url=https://doi.org/10.14778/3213880.3213888 |journal=Proceedings o ...

...inear spiral hashing for expansible files | journal = IEEE Transactions on Knowledge and Data Engineering | volume = 11 | date = 1999| issue = 6 }}</ref> ...

...iversity Constructions on Expectations and Outcomes. Journal of Technology Management and Innovation, 6(3), 172-183. ...ing the multiple effects of diversity in organizational groups. Academy of Management Review, 21, 402-433.</ref> concluded that “diversity appears to be a double ...

...l states (i.e. experienced meaningfulness, experienced responsibility, and knowledge of results).<ref name="HackmanOldham1975">Hackman, J. R. & Oldham, G. R. (1 ...cal issues related to the job characteristics model. Journal of Operations Management, 14(4), 357–367.</ref> ...

...J.| work = Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data| series = [[SIGMOD]]| isbn = 1-58113-217-4| pages = 93–104| url = h ...doi = 10.1007/978-3-540-48247-5_28 | title = Principles of Data Mining and Knowledge Discovery | series = Lecture Notes in Computer Science | volume = 1704 | pa ...

...3=J. M.|date=2015|title=Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning|url=https://ieeexplore.ieee.org/document/6841041 ...l = http://www3.ntu.edu.sg/home/ASAHTan/Papers/TC%20APIN03.pdf | journal = Knowledge and Information Systems | volume = 6 | issue = 5| pages = 595–616 | doi=10. ...

...onal Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems IPMU '88. Urbino, Italy, July 4-7, 1988. Proceedings|url=http ...

...s of the 24th ACM International on Conference on Information and Knowledge Management |chapter=An Integrated Bayesian Approach for Effective Multi-Truth Discover ...e=2015-02-15|title=Big Data Integration|journal=Synthesis Lectures on Data Management|language=en|volume=7|issue=1|pages=1–198|doi=10.2200/S00578ED1V01Y201404DTM ...