[Corpora-List] Fwd: ACM TKDD Call for Papers

Mohammed Hasanuzzaman hasanuzzaman.im at gmail.com
Tue Dec 10 20:04:56 CET 2019


Apologies for cross posting

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CALL FOR PAPERS

ACM Transactions on Knowledge Discovery from Data

*Editors-in-Chief* *Charu Aggarwal*, IBM T. J. Watson Research, USA *Xindong Wu*, Mininglamp Academy of Sciences, China

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*Information For Contributors*

*ACM Transactions on Knowledge Discovery from Data* (TKDD) welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Such subjects include, but not limited to: scalable and effective algorithms for data mining and big data analysis, mining brain networks, mining data streams, mining multimedia data, mining highdimensional data, mining text, Web, and semistructured data, mining spatial and temporal data, data mining for community generation, social network analysis, and graph structured data, security and privacy issues in data mining, visual, interactive and online data mining, pre-processing and post-processing for data mining, robust and scalable statistical methods, data mining languages, foundations of data mining, KDD framework and process, and novel applications and infrastructures exploiting data mining technology including massively parallel processing and cloud computing platforms. TKDD encourages papers that explore the above subjects in the context of large distributed networks of computers, parallel or multiprocessing computers, or new data devices. TKDD also encourages papers that describe emerging data mining applications that cannot be satisfied by the current data mining technology.

TKDD welcomes papers that both lay theoretical foundations for data mining, big data and those that provide new insights into the design and implementation of large-scale data mining systems and tools, data mining interface tools, and data mining tools that integrate with the overall information processing infrastructure. The emphasis on integration of theory and practice is an attempt to encourage authors of theory papers to consider applicability and/or implementability of the theoretical results, while encouraging authors of systems papers to reflect on the theoretical results that may have been used in building the systems and/or to offer suggestions on issues that may require theoretical treatment.

For further information or to submit your manuscript, please visit tkdd.acm.org <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-22db7x31f1d5x04675&> .

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