References
- Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D., Silberschatz, A. and Rasin, A. (2009). HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads, Proceedings of the VLDB Endowment 2(1): 922-933, DOI: 10.14778/1687627.1687731.10.14778/1687627.1687731
- Alamoudi, A., Grover, R., Carey, M.J. and Borkar, V. (2015). External data access and indexing in AsterixDB, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, Melbourne, Australia, pp. 3-12, DOI: 10.1145/2806416.2806428.10.1145/2806416.2806428
- Ambekar, G., Chikane, T., Sheth, S., Sable, A. and Ghag, K. (2015). Anticipation of winning probability in poker using data mining, International Conference on Computer, Communication and Control, Indore, India, pp. 1-6, DOI: 10.1109/IC4.2015.7375593.10.1109/IC4.2015.7375593
- Delaney, K. (2009). Microsoft SQL Server 2008 Internals, Microsoft Press, Redmond, WA. Hadoop (2014). Apache Hadoop, http://hadoop.apache.org.
- HDFS (2016). HDFS architecture, https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html.
- Hive (2014). Apache Hive, http://hive.apache.org.
- Jiang, D., Ooi, B.C., Shi, L. and Wu, S. (2010). The performance of MapReduce: And in-depth study, Proceedings of the VLDB Endowment 3(1-2): 472-483, DOI: 10.14778/1920841.1920903.10.14778/1920841.1920903
- Mealing, R. and Shapiro, J. (2015). Opponent modelling by expectation-maximisation and sequence prediction in simplified poker, IEEE Transactions on Computational Intelligence and AI in Games PP(99): 472-483, DOI:10.1109/TCIAIG.2015.2491611.10.1109/TCIAIG.2015.2491611
- Miltersen, P.B. and Sørensen, T.B. (2007). A near-optimal, Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, Honolulu, HI, USA, pp. 1168-1175, DOI:10.1145/1329125.1329357.10.1145/1329125.1329357
- Mullins, C.S. (2000). DB2 Developer’s Guide, Fourth Edition, Sams, Indianapolis, IN. MySQL (2016). MySQL internals manual: Writing a custom storage engine, http://dev.mysql.com/doc/internals/en/custom-engine.html
- ORC (2016). Apache ORC, http://orc.apache.org/docs.
- PostgreSQL (2016). PostgreSQL documentation: Database page layout, https://www.postgresql.org/docs/9.1/static/storage-page-layout.html.
- RCFile (2016). Apache Hive, http://hive.apache.org/javadocs/r2.2.0/api/org/apache/hadoop/hive/ql/io/RCFile.html.
- Richter, S., Quian´e-Ruiz, J., Schuh, S. and Dittrich, J. (2014). Towards zero-overhead static and adaptive indexing in Hadoop, The VLDB Journal 23(3): 469-494, DOI: 10.1007/s00778-103-0332-z.10.1007/s00778-103-0332-z
- Shvachko, K., Kuang, H., Radia, S. and Chansler, R. (2010). The Hadoop distributed file system, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1-10, DOI: 10.1109/MSST.2010.5496972.10.1109/MSST.2010.5496972
- Teófilo, L.F. and Reis, L.P. (2011). Identifying player’s strategies in no limit Texas Hold’em poker through the analysis of individual moves, EPIA Conference on Artificial Intelligence, Lisbon, Portugal, pp. 70-83.
- Teófilo, L.F., Reis, L.P. and Cardoso, H.L. (2013). Estimating the probability of winning for Texas Hold’em poker agents, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Washington, DC, USA, pp. 369-374, DOI: 10.1109/WI-IAT.2013.134.10.1109/WI-IAT.2013.134
- Teófilo, Reis, L.P. and Cardoso, H.L. (2014). A profitable online no-limit poker playing agent, Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Washington, DC, USA, Vol. 03, pp. 286-293, DOI: 10.1109/WI-IAT.2014.179.
- Thusoo, A., Sarma, J.S., Jain, N., Shao, Z., Chakka, P., Zhang, N., Anthony, S., Liu, H. and Murthy, R. (2010). Hive-a petabyte scale data warehouse using Hadoop, Data Engineering (ICDE), 2010 IEEE 26th International Conference on, Long Beach, CA, USA, pp. 996-1005, DOI: 10.1109/ICDE.2010.5447738.10.1109/ICDE.2010.5447738
- YARN (2016). Apache Hadoop YARN, http://hadoop.apache.org/docs/stable2/hadoop-yarn/hadoop-yarn-site/YARN.html.