Treffer 1 - 7 von 7

Survey of Tools and Settings for Introductory C Programming
Sunjae Park
2024 ASEE Annual Conference & Exposition Proceedings.

Practical UML Statecharts in C/C++: Event-Driven Programming for Embedded Systems
Miro Samek ; Miro Samek

Learn Arduino Prototyping in 10 days
Choudhuri, Kallol Bosu Roy ; Choudhuri, Kallol Bosu Roy ; Choudhuri, Kallol Bosu Roy ; et al.

The Recursive Harmonic Kernel & Kulik Nexus Framework: A Unified Cross-Domain Analysis
Kulik, Dean

Business intelligence : from conventional to cognitive
Gómez-Cruz, Nelson Alfonso ; Ramírez Linares, Andrés Felipe ; Gómez-Cruz, Nelson Alfonso ; et al.
instname:Universidad del Rosario; reponame:Repositorio Institucional EdocUR; Abdelkerim Rezgui, R. B. (2016). Un système d’évaluation de l’impact des décisions pour la Business Intelligence Adaptative. Ingeniere des systems d`information , 21, 103-124.; AI, P. (2018). Obtenido de; Alphaydin, E. (2010). Introduction to machine learning. London: The MIT press.; Anderson, S. L. (2008). Asimov’s ‘‘three laws of robotics’’ and machine. AI & Soc, 477–493.; Apex. (November de 2018). Obtenido de; Atzori, L., Iera, A., & Morabito, G. (14 de May de 2010). The Internet of Things: A survey. Computer Networks, 2787–2805.; Banafa, A. (14 de March de 2017). Three Major Challenges Facing IoT. Obtenido de; Bostrom, N. (2003). Ethical Issues in Advanced Artificial Intelligence. Oxford: Oxford University.; Brown, J., Cuzzocrea, A., Kresta, M., Kristjanson, K., Leung, C., & Tebinka, T. ( 2018). A machine learning tool for supporting advanced knowledge discovery from chess game data. 16th IEEE International Conference on Machine Learning and Applications, (págs. 649-654). Cancun.; Cambridge, D. (18 de November de 2018).; Cambridge. (2018). Obtenido de; Cambridge. (2018). Obtenido de; Campbell, M., Jr, A. H., & Feng-hsiung, b. (2002). Deep Blue. Artificial Intelligence, 134, 57-83. Obtenido de; Chen, Y., Argentinis, E., & Weber, G. (2016). IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research. Clinical Therapeutics, 38, 688-701. Obtenido de; Chiang, R. H., Chen, H.-c., & Storey, V. C. (2010). Business Intelligence Research. Minnesota: MIS Quarterly; CNN. (2018 de January de 2016). Why Elon Musk is worried about artificial intelligence. Obtenido de; Daffodil. (30 de July de 2017). 9 Applications of Machine Learning from Day-to-Day Life. Obtenido de; DataRobot. (2018). Unsupervised Machine Learning. Obtenido de; Devi, S., & Kalia, D. A. (2015). Study of Data Cleaning & Comparison of Data Cleaning Tools. International Journal of Computer Science and Mobile Computing, 4(3), 360-370.; Dietrich, D., Heller, B., & Yang, B. (2015). Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Indianapolis, United States of America: John Wiley & Sons, Inc.; Enciclopedia. (2018). Artificial Intelligence. Obtenido de; Erb, B. (2016). Artificial Intelligence & Theory of Mind.; Gandhi, N., & Armstrong, L. J. (2016). A review of the application of data mining techniques for decision making in agriculture. (IEEE, Ed.) 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2.; Gartner. (2 de April de 2012). Obtenido de; Gartner. (2018). IT Glossary. Obtenido de; Gartner. (3 de February de 2016). Obtenido de; Geotab. (25 de May de 2018). 6 Steps for Data Cleaning and Why it Matters. Obtenido de; Giorgio, P., Marzin, K., Lee, S., & Vonderhaar, M. (2018). Internet of Things (IoT): Bringing IoT to Sports Analytics, Player Safety, and Fan. Deloitte Development LLC.; GN, C. K. (31 de August de 2018). Artificial Intelligence: Definition, Types, Examples, Technologies. Obtenido de; Golfarelli, M., Rizzi, S., & Cella, I. (2004). Beyond Data Warehousing: What’s Next in Business Intelligence? . Proceedings of the 7th ACM international, 1.; Gorbea, P. S., & Madera, J. M. (Agosto de 2017). Diseño de un data warehouse para medir el desarrollo disciplinar en instituciones académicas. INVESTIGACIÓN BIBLIOTECOLÓGICA, 31(72), 161-181. Obtenido de; H.Witten, I., & Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques. San Francisco: Morgan Kaufman Publishers.; Hassan, M., El Desouky, A., Elghamrawy, S., & Sarhan, A. (2019). A Hybrid Real-time remote monitoring framework with NB-WOA algorithm for patients with chronic diseases. Future Generation Computer Systems, 77-95.; Hazen, B. T., Boone, C. A., Ezell, J. D., & AllisonJones-Farmer, L. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.; Heltzel, P. (12 de February de 2018).; Hintzed, A. (14 de November de 2016). Understanding the Four Types of Artificial Intelligence. Obtenido de; Hitachi. (26 de Junio de 2014). What is Business Intelligence (BI). Toronto, Canada. Obtenido de; Hougland, B. (17 de December de 2014).; HUGH J. WATSON, B. H.-L. (December de 2009). REAL-TIME BUSINESS INTELLIGENCE: BEST PRACTICES AT CONTINENTAL AIRLINES. EDPACS: The EDP Audit, Control, and Security, 2-17.; IBM. (2018). Shifting toward Enterprise-grade AI: Resolving data and skills gaps to realize value. Armonk, NY: IBM Institute for Business Value.; IBM. (3 de September de 2015). How It Works: Internet of Things. Obtenido de; Jones, M., Sidorova, A., & Isk, O. (23 de December de 2012). Business intelligence success: The roles of BI capabilities and decision enviroments. 13-14.; Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, and prospects. American Association for the Advancement of Science, 249(6245).; Kato, S., Ando, M., Kondo, T., Yoshida, Y., Honda, H., & Maruyama, S. (May de 2018). Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study). Nagoya Journal of Med Sci., 175-182.; Kopetz, H. (2011). Real-Time Systems: Design Principles for Distributed Embedded Applications. Boston: Springer.; Kuhn, M., & Jhonson, K. (2016). Applied Predictive Modeling (Vol. 5). New York: Springer.; Lahrmann, G., Marx, F., Winter, R., & Wortmann, F. (2011). Business Intelligence Maturity: Development and Evaluation of a Theoretical Model. (U. o. Gallen, Ed.) 44, 2.; Luhn, H. P. (1958). A Business Intelligence System . IMB Journal .; Marr, B. (14 de February de 2018).; Marr, B. (23 de March de 2016). What Everyone Should Know About Cognitive Computing. Obtenido de; Michalewicz, Z., Schmidt, M., Michalewicz, M., & Constantine, C. (2010). Adaptive Business Inteligence. Berlin - Heidelberg: Springer.; Mostafa, H., Thurow, K., Habil, D. I., Stoll, R., & Habil, D. M. (2017). Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthc Inform Res, 4-15.; Nilsson, N. J. (1996). Book review: Stuart Russell and Peter Norvig, Artijcial Intelligence: A Modem Approach. Artificial Intelligence, 369-380.; Ning, H., & Wang, Z. (April de 2011). Future Internet of Things Architecture: Like Mankind Neural System or Social Organization Framework? IEEE COMMUNICATIONS LETTERS, 15(4), 2.; Oracle. (2018). Oracle Big Data. Obtenido de; Paul, F. (26 de November de 2018). Obtenido de; PaulaGonzález, M., JesúsLorés, & AntoniGranollers. (2008). Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use. Information and Software Technology, 547-568.; Peart, A. (22 de June de 2017).; Pirttimäki, V. (2 de June de 2007). Conceptual analysis of business intelligence. South African Journal Of Information and Management, 9, 2-5.; Price, R. (23 de May de 2018). Months after a fatal crash, Uber lays off 300 workers as it pulls its self-driving car tests out of Arizona. Obtenido de; Price, R. (23 de May de 2018). Months after a fatal crash, Uber lays off 300 workers as it pulls its self-driving car tests out of Arizona. Obtenido de 33; Rahm, E., & Do, H. H. (2015). Data Cleaning: Problems and Current Approaches. University of Leipzig.; Raona. (4 de September de 2018). Adiós a nuestros problemas gracias al Cognitive Computing. Obtenido de; Rashed K. Salem, A. S. (14 de March de 2016). Fixing Rules for Data Cleaning based on Conditional. Future Computing and Informatics Journal, 11-15.; Richard G. Vedder-, M. T. (1999). Ceo and Cio Perspectives on Competitive Intelligence. Communications of the ACM, 42(8), 108-116.; Rubio, J. M., & Crawford, B. (2014). An approach towards the integration of Adaptive Business Intelligent and Constraint Programming . Pontificia universidad catolica del valparaiso, 2.; SAP. (2018). Obtenido de; SAP. (26 de April de 2018). Obtenido de; Shah, J., & Mishra, B. (2016). Customized IoT enabled Wireless Sensing and Monitoring Platform. 3rd International Conference on Innovations in Automation and Mechatronics Engineering, (págs. 256 – 263 ). Gandhinaga: VLSI and Embedded Systems Research Group.; Shollo, A., & Kautz, K. (2010). Towards an Understanding of Business Intelligence. Australasian Conference on Information Systems. Brisbane, Qeensland; Sommer, P. (20 de November de 2017). Obtenido de; Soni, D. (22 de March de 2018). Supervised vs. Unsupervised Learning: Understanding the differences between the two main types of machine learning methods. Obtenido de; Sparks, O. (11 de Enero de 2017).; Stefan Debortoli, M., Müller, D. O., & Brocke, P. D. (2014). Comparing Business Intelligence and Big Data Skills. 5.; Su, X. (2018). Introduction to Big Data. Learning material is developed for course IINI3012 Big Data, 2.; Surajit Chaudhuri, U. D. (Agosto de 2011). An Overview of business Intelligence Technology. Communications of the acm, 54(8), 88-98.; Techopedia. (2018). Obtenido de; Techopedia. (30 de October de 2018). Obtenido de; Techopedia. (December de 2018).; Tegmark, M. (2018). Obtenido de; Thelwell, R. (2018).; Thewell, R. (2018). /; Triana, J. A., Hernández, C. A., Martínez, A. B., Lista, E. A., & Flórez, L. C. (2013). Business intelligence solution for managing educational resources and physical. AVANCES Investigación en Ingeniería, 10(1), 11.; UJ, A. (14 de May de 2018).; Viktor Mayer-Schönberger, K. C. (2014). Book Review. En K. C. Viktor Mayer-Schönberger-, Big Data: A Revolution That Will Transform How We Live, Work, and Think (Vol. 179, págs. 1143-1144). Oxford: American Journal of Epidemiology.; Weldon, D. (12 de June de 2018). Obtenido de; Wixom, B., & Watson, H. (2010). The BI-Based Organization. International Journal of Business Intelligence Research, 14.; Wong, M.-H. C.-L. (4 de May de 2011). A review of business intelligence and its maturity models. African Journal of Business Management, 5, 3424-3428. Obtenido de; Yang, S.-H. (2014). Internet of Things. In: Wireless Sensor Networks. Signals and Communication Technology. London: Springer.; Zhao, Y., Yu, Y., Li, Y., Han, G., & Du, X. (2018). Machine learning based privacy-preserving fair data trading. Information Sciences, 459.

Business intelligence : from conventional to cognitive
Ramírez Linares, Andrés Felipe
Abdelkerim Rezgui, R. B. (2016). Un système d’évaluation de l’impact des décisions pour la Business Intelligence Adaptative. Ingeniere des systems d`information , 21, 103-124. ; AI, P. (2018). Obtenido de https://www.partnershiponai.org/about/ ; Alphaydin, E. (2010). Introduction to machine learning. London: The MIT press. ; Anderson, S. L. (2008). Asimov’s ‘‘three laws of robotics’’ and machine. AI & Soc, 477–493. ; Apex. (November de 2018). Obtenido de https://www.apex.com/four-main-types-bi/ ; Atzori, L., Iera, A., & Morabito, G. (14 de May de 2010). The Internet of Things: A survey. Computer Networks, 2787–2805. ; Banafa, A. (14 de March de 2017). Three Major ....

Do Androids Dream of Electric Speech? The Construction of Cochlear Implant Identity on American Television and the 'New Deaf Cyborg'
Pamela J. Kincheloe
M/C Journal. 13