Uneingeschränkter Zugang

Pre-Processing and Modeling Tools for Bigdata


Zitieren

[1] Afrati F. N., Ullman J. D., Optimizing joins in a map-reduce environment, International Conference on Extending Database Technology, 2010, Print ISBN 978-1-60558-945-9.10.1145/1739041.1739056Search in Google Scholar

[2] Chalkiopoulos A., Programming MapReduce with Scalding, Packt Publishing, 2014, Print ISBN 978-1783287017.Search in Google Scholar

[3] DeCandia G., Hastorun D., Jampani M., Kakulapati G., Lakshman A., Pilchin A., Sivasubramanian S., Vosshall P., Vogels W., Dynamo: Amazon’s highly available key-value store, ACM Symposium on Operating Systems Principles, 2007, DOI 10.1145/1323293.1294281.10.1145/1294261.1294281Search in Google Scholar

[4] Ghemawat S., Gobioff H., Leung S.K., The Google File System, SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles, 2003, Print ISBN 1-58113-757-5.10.1145/945445.945450Search in Google Scholar

[5] Hashem H., Ranc D., An integrative Modeling of BigData Processing, International Journal of Computer Science and Applications, 2014, Print ISSN 0972-9038.Search in Google Scholar

[6] Hashem H., Ranc D., Predicate-based Cloud Computing, 8th International Conference on Next Generation Mobile Apps, Services and Technologies, 2014, Print ISBN 978-1-4799-5072-0.Search in Google Scholar

[7] Kaur, K., Rani, R., Modeling and querying data in NoSQL databases, Big Data, 2013 IEEE International Conference, INSPEC Accession Number 13999217.10.1109/BigData.2013.6691765Search in Google Scholar

[8] Kim S., Jung W., Kim H. S., A location inference algorithm based-on smart phone user data modelling, International Conference on Advanced Communication Technology, 2014, Print ISBN 978-89-968650-2-5.10.1109/ICACT.2014.6779155Search in Google Scholar

[9] Li Y., Manoharan S., A performance comparison of SQL and NoSQL databases, Communications, Computers and Signal Processing, 2013 IEEE Pacific Rim Conference, Print ISSN 1555-5798.10.1109/PACRIM.2013.6625441Search in Google Scholar

[10] Lin J., Bahety A., Konda S., Mahindrakar S., Lowlatency, high-throughput access to static global resources within the Hadoop framework, Technical Report - University of Maryland, 2009, HCIL-2009-01.Search in Google Scholar

[11] Lin J., Dyer C., Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies), Morgan and Claypool Publishers, 2010, Print ISBN 978-1608453429.10.1007/978-3-031-02136-7Search in Google Scholar

[12] Lin J., Schatz M., Design Patterns for Efficient Graph Algorithms in MapReduce, University of Maryland, College Park, 2010, Print ISBN 978-1-4503-0214-2.Search in Google Scholar

[13] Malewicz G., Austern M. H., Bik A. J. C., Dehnert J. C., Horn I., Leiser N., Czajkowski G., Pregel: A system for largescale graph processing, ACM Conference on Management of Data, 2010, Print ISBN 978-1-4503-0032-2.10.1145/1807167.1807184Search in Google Scholar

[14] Mesiti M., Valtolina S., Towards a User-Friendly Loading System for the Analysis of Big Data in the Internet of Things, Computer Software and Applications Conference Workshops, 2014 IEEE 38th International Conference, Print ISBN 978-1-4799-3578-9.10.1109/COMPSACW.2014.55Search in Google Scholar

[15] Miner D., Shook A., MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems, O'Reilly Media, 2012, Print ISBN 978-1449327170.Search in Google Scholar

[16] Mohanty S., Jagadeesh M., Srivatsa H., Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics, APress, 2013, Print ISBN 978-1430248729.10.1007/978-1-4302-4873-6Search in Google Scholar

[17] Petrovic S., Osborne M., Lavrenko V., Streaming first story detection with application to Twitter, International Conference of the North American Chapter of the Association for Computational Linguistics, 2010, Print ISBN 1-932432-65-5.Search in Google Scholar

[18] Schroeder B., Pinheiro E., Weber W. D., DRAM errors in the wild: A large-scale field study, International Joint Conference on Measurement and Modeling of Computer Systems, 2009, Print ISBN 978-1-60558-511-6.10.1145/1555349.1555372Search in Google Scholar

[19] Shaikh M. A., Jiaxin W., Investigative Data Mining: Identifying Key Nodes in Terrorist Networks, IEEE International Conference on Multitopic Conference, 2006, Print ISBN 1-4244-0795-8.10.1109/INMIC.2006.358163Search in Google Scholar

[20] Suraworachet W., Premsiri S., Cooharojananone N., The Study on the Effect of Facebook's Social Network Features toward Intention to Buy on F-commerce in Thailand, IEEE/IPSJ International Symposium on Applications and the Internet, 2012, Print ISBN 978-1-4673-2001-6.10.1109/SAINT.2012.46Search in Google Scholar

[21] Tudorica B.G., Bucur C., A comparison between several NoSQL databases with comments and notes, Roedunet International Conference (RoEduNet), 2011, Print ISBN 978-1-4577-1233-3.10.1109/RoEduNet.2011.5993686Search in Google Scholar

[22] Wang G., Tang J., The NoSQL Principles and Basic Application of Cassandra Model, Computer Science & Service System, 2012 International Conference, Print ISBN 978-1-4673-0721-5.10.1109/CSSS.2012.336Search in Google Scholar

[23] Yang H. C., Dasdan A., Hasiao R. L., Parker D. S., MapReduce-Merge: Simplified relational data processing on large clusters, ACM Conference on Management of Data, 2007, Print ISBN 978-1-59593-686-8.10.1145/1247480.1247602Search in Google Scholar

[24] Zheng Z., Zhu J., Lyu M. R., Service-Generated Big Data and Big Data-as-a-Service: An Overview, IEEE International Congress on Big Data, 2013, Print ISBN 978-0-7695-5006-0.10.1109/BigData.Congress.2013.60Search in Google Scholar

eISSN:
2300-3405
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Künstliche Intelligenz, Softwareentwicklung