Richard Kyle MacKinnon

According to our database1, Richard Kyle MacKinnon authored at least 17 papers between 2013 and 2017.

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Bibliography

2017
Finding efficiencies in frequent pattern mining from big uncertain data.
World Wide Web, 2017

2016
Interactive mining of diverse social entities.
KES Journal, 2016

2015
Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014
Mining constrained frequent itemsets from distributed uncertain data.
Future Generation Comp. Syst., 2014

A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

A Tree-based Algorithm for Mining Diverse Social Entities.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

A machine learning approach for stock price prediction.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Fast Algorithms for Frequent Itemset Mining from Uncertain Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
Finding groups of friends who are significant across multiple domains in social networks.
Proceedings of the Fifth International Conference on Computational Aspects of Social Networks, 2013


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