Bing Ni

Orcid: 0000-0002-4297-5346

According to our database1, Bing Ni authored at least 15 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
An Empirical Study in Transaction Data Augmentation Based on Fuzzy Set Theory for Association Rule Mining.
Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

2022
Usage-Based Decision Tree for Telco Churn Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2017
Spatio-temporal flow maps for visualizing movement and contact patterns.
Vis. Informatics, 2017

MobiSeg: Interactive region segmentation using heterogeneous mobility data.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016
TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data.
IEEE Trans. Vis. Comput. Graph., 2016

2015
Telco Churn Prediction with Big Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.
Proc. VLDB Endow., 2014

Applying Agrep to r-NSA to solve multiple sequences approximate matching.
Int. J. Data Min. Bioinform., 2014

2011
Generalized pattern matching applied to genetic analysis.
PhD thesis, 2011

Detection of splicing events and multiread locations from RNA-seq data based on a geometric-tail (GT) distribution of intron length.
BMC Bioinform., 2011

ABMapper: a suffix array-based tool for multi-location searching and splice-junction mapping.
Bioinform., 2011

A fast CUDA implementation of agrep algorithm for approximate nucleotide sequence matching.
Proceedings of the IEEE 9th Symposium on Application Specific Processors, 2011

2010
A generalized sequence pattern matching algorithm using complementary dual-seeding.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2008
N-SAMSAM : A simple and faster algorithm for solving approximate matching in DNA sequences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2004
Toward the Quantitative Prediction of T-Cell Epitopes: QSAR Studies on Peptides Having Affinity with the Class I MHC Molecular HLA-A<sub>*</sub>0201.
J. Comput. Biol., 2004


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