论文信息 - Artificial Intelligence and Big Data

Artificial Intelligence and Big Data

AI Innovation in Industry is a new department for IEEE Intelligent Systems, and this paper examines some of the basic concerns and uses of AI for big data (AI has been used in several different ways to facilitate capturing and structuring big data, and it has been used to analyze big data for key insights).

Daniel E. O'Leary | D. O’Leary

[1] Xavier Llorà,et al. Scaling Genetic Algorithms Using MapReduce , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

[2] Daniel E. O'Leary. Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information , 2012 .

[3] Kevin Ashton,et al. That ‘Internet of Things’ Thing , 1999 .

[4] Houfeng Wang,et al. Bootstrapping both Product Properties and Opinion Words from Chinese Reviews with Cross-Training , 2007 .

[5] Johan Bollen,et al. Twitter Mood as a Stock Market Predictor , 2011, Computer.

[6] W. Scott Spangler,et al. Intelligent Web Services Selection based on AHP and Wiki , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

[7] Johanna D. Moore,et al. Twitter Sentiment Analysis: The Good the Bad and the OMG! , 2011, ICWSM.

[8] Philip S. Yu,et al. Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[9] Philip J. Hayes,et al. CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories , 1990, IAAI.

[10] David Ellsworth,et al. Managing Big Data for Scientific Visualization , 2015 .

[11] Tim Kraska,et al. MLbase: A Distributed Machine-learning System , 2013, CIDR.

[12] Soo-Min Kim,et al. Determining the Sentiment of Opinions , 2004, COLING.

[13] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.