Mining

Agents and Data Mining Interaction: 9th International by Longbing Cao

By Longbing Cao

This publication constitutes the completely refereed and revised chosen papers from the ninth overseas Workshop on brokers and knowledge Mining interplay, ADMI 2013, held in Saint Paul, MN, united states in might 2013. the ten papers awarded during this quantity have been rigorously chosen for inclusion within the ebook and are geared up in topical sections named agent mining and information mining.

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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

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K. Dam five types of conventions reveal some information that warrant further investigation. For example, it could be the case that the same (small) group of programmers may have introduced all the import errors or the programming pitfall errors. Such analysis can be undertaken in the future. Our objective in this work was to undertake initial investigation of convention adherence in some well-known projects. 5 Agent-Based Architecture for Norm Mining The preliminary case study that we have conducted on convention monitoring is a first step towards the grand challenge of recognizing normative processes in the software repository setting.

4. Length refers to a set of criteria where length related attributes are measured and compared with some default values. For example, when the length of a file or a method is over certain limit, it impacts readability and maintainability of code. 7 8 9 10 11 The new convention could emerge based on discussions. 4. 4. Phases 1 and 2 of the norm life-cycle are complete at this stage. 5. R. K. Dam Fig. 1. Convention categories and description 5. Redundancy refers to redundant use of code. For example, there might be redundant exceptions that are caught or redundant import statements that need to be removed.

References 1. : Approximate Kalman filters for embedding author-word co-occurrence data over time. X. ) ICML 2006. LNCS, vol. 4503, pp. 126–139. Springer, Heidelberg (2007) 2. : A survey of modern authorship attribution methods. J. Am. Soc. Inf. Sci. Technol. 60(3), 538–556 (2009) 3. : Author identification using imbalanced and limited training texts. In: 18th International Workshop on Database and Expert Systems Applications, 2007, DEXA’07, pp. 237–241 (2007) 4. : Agent mining: the synergy of agents and data mining.

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