By Longbing Cao
This e-book constitutes the completely refereed and revised chosen papers from the ninth foreign Workshop on brokers and information Mining interplay, ADMI 2013, held in Saint Paul, MN, united states in may possibly 2013. the ten papers awarded during this quantity have been conscientiously chosen for inclusion within the e-book and are equipped in topical sections named agent mining and information mining.
Read Online or Download Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers PDF
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Extra resources for Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers
2 presents the results that were obtained by running the CheckStyle checker based on the standard checks template12 on these three projects. g. g. avoid star imports). We have speciﬁed the codiﬁed conventions using * in column two of Fig. 1. In terms of extensibility, all the three projects, seem to have substantial issues. In line conditionals are predominantly used which obscure the readability of the code and it was observed that many classes were not designed for extension. There were not many issues with regards to simplifying the complex boolean expression.
48–57, October 2008 9. : Cloning considered harmful considered harmful. In: Proceedings of the 13th Working Conference on Reverse Engineering, pp. 19–28. IEEE Computer Society, Washington, DC (2006) 10. : Scalable, distributed data mining-an agent architecture. In: Proceedings Third International Conference on Knowledge Discovery and Data Mining, pp. 211–214 (1997) 11. : The emergence of conventions in online social networks. In: Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, 4–7 June 2012 12.
Identifying prohibition norms in agent societies. Artif. Intell. Law 21, 1–46 (2012) 17. : The Success of Open Source. Harvard University Press, Harvard (2004) 18. : Applications of deontic logic in computer science: a concise overview. Ch. ) Deontic Logic in Computer Science: Normative System Speciﬁcation, pp. 17–40. Wiley, New York (1994) 19. : Mining version histories to guide software changes. In: Proceedings of the 26th International Conference on Software Engineering, ICSE ’04, pp. 563–572.
Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers by Longbing Cao