Richard Kyle MacKinnon

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Finding efficiencies in frequent pattern mining from big uncertain data.

Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang

World Wide Web, 2017

2016

Interactive mining of diverse social entities.

Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer, Alfredo Cuzzocrea, Peter Braun, Richard Kyle MacKinnon

Int. J. Knowl. Based Intell. Eng. Syst., 2016

2015

Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine.

Richard Kyle MacKinnon, Carson K. Leung

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.

Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon

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.

Carson Kai-Sang Leung, Richard Kyle MacKinnon

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014

Mining constrained frequent itemsets from distributed uncertain data.

Alfredo Cuzzocrea, Carson Kai-Sang Leung, Richard Kyle MacKinnon

Future Gener. Comput. Syst., 2014

A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data.

Richard Kyle MacKinnon, Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data.

Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon

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.

Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed Khairuzzaman Tanbeer

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.

Peter Braun, Alfredo Cuzzocrea, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed Khairuzzaman Tanbeer

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

A machine learning approach for stock price prediction.

Carson Kai-Sang Leung, Richard Kyle MacKinnon, Yang Wang

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds.

Richard Kyle MacKinnon, Teagan D. Strauss, Carson Kai-Sang Leung

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Fast Algorithms for Frequent Itemset Mining from Uncertain Data.

Carson Kai-Sang Leung, Richard Kyle MacKinnon

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining.

Carson Kai-Sang Leung, Richard Kyle MacKinnon

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data.

Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang

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.

Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang

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.

Syed Khairuzzaman Tanbeer, Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Irish J. M. Medina

Proceedings of the Fifth International Conference on Computational Aspects of Social Networks, 2013