See how real organizations use corporate learning analytics to report on and share information about learning programs while also proving L&D’s impact.
"Airsage has taken it to the next level in the more recent past with GPS based anonymized data, but data with EXTENSIVE history. The Airsage product is zip code and smaller resolution and can provide months to years of location history of an anonymous cell phone id. " -- https://news.ycombinator.com/item?id=14803443
Log4j will inspect the "log4j.configurationFile" system property and, if set, will attempt to load the configuration using the ConfigurationFactory that matches the file extension.
If no system property is set the properties ConfigurationFactory will look for log4j2-test.properties in the classpath.
If no such file is found the YAML ConfigurationFactory will look for log4j2-test.yaml or log4j2-test.yml in the classpath.
If no such file is found the JSON ConfigurationFactory will look for log4j2-test.json or log4j2-test.jsn in the classpath.
If no such file is found the XML ConfigurationFactory will look for log4j2-test.xml in the classpath.
If a test file cannot be located the properties ConfigurationFactory will look for log4j2.properties on the classpath.
If a properties file cannot be located the YAML ConfigurationFactory will look for log4j2.yaml or log4j2.yml on the classpath.
If a YAML file cannot be located the JSON ConfigurationFactory will look for log4j2.json or log4j2.jsn on the classpath.
If a JSON file cannot be located the XML ConfigurationFactory will try to locate log4j2.xml on the classpath.
If no configuration file could be located the DefaultConfiguration will be used. This will cause logging output to go to the console.
D. Cox, V. Kindratenko, and D. Pointer. UbiComp 2003: Ubiquitous Computing, volume 2864 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2003)
V. Zheng, Y. Zheng, X. Xie, and Q. Yang. Proceedings of the 19th international conference on World wide web, page 1029--1038. New York, NY, USA, ACM, (2010)
M. Jonsson. Proceedings of the 2007 International Conference on Mobile Data Management, page 304--308. Washington, DC, USA, IEEE Computer Society, (2007)
M. Jonsson. Proceedings of the 2007 International Conference on Mobile Data Management, page 304--308. Washington, DC, USA, IEEE Computer Society, (2007)
M. Jonsson. Proceedings of the 2007 International Conference on Mobile Data Management, page 304--308. Washington, DC, USA, IEEE Computer Society, (2007)
P. Klante, J. Krösche, and S. Boll. Computers Helping People with Special Needs, volume 3118 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2004)
U. Schindler, and I. Drost. Java Magazin, (2010)Zusätzlich interessante Punkte die im Artikel erwähnt werden:
1) Die Häufigkeit einzelner Suchanfragen ist meist zipf-verteilt.
2) Abstandsberechnung bei Geodaten über Haversinus.
3) Cartesian Tiers
4) Wissenschaftliches Infosystem PANGAEA
5) KML Regionen Dokumentation von Google
6) Geohshes.
S. Schneegans, P. Vorst, and A. Zell. Proceedings of the 3rd European Conference on Mobile Robots (ECMR 2007), page 241-246. Freiburg, Germany, (September 2007)
P. Vorst, and A. Zell. ISR/ROBOTIK 2010 (Proceedings of the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)), page 354--361. VDE Verlag, (June 2010)
T. Rattenbury, N. Good, and M. Naaman. SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 103--110. New York, NY, USA, ACM Press, (2007)
C. Lustig, H. Novatchkov, L. Dunne, M. McHugh, and L. Coyle. MeMos 2007: Supporting Human Memory with Interactive Systems. Workshop
at the 2007 British HCI International Conference., page 41--44. (September 2007)