Database Systems for Advanced Applications: DASFAA 2016 International Workshops: BDMS, BDQM, MoI, and SeCoP, Dallas, TX, USA, April 16-19, 2016, Proceedings H Gao, J Kim, Y Sakurai Springer, 2016 | 163 | 2016 |
Efficient moving average transform-based subsequence matching algorithms in time-series databases YS Moon, J Kim Information Sciences 177 (23), 5415-5431, 2007 | 63 | 2007 |
A wide & deep learning sharing input data for regression analysis M Kim, S Lee, J Kim 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 25 | 2020 |
Interactive noise-controlled boundary image matching using the time-series moving average transform BS Kim, YS Moon, MJ Choi, J Kim Multimedia Tools and Applications 72, 2543-2571, 2014 | 24 | 2014 |
Noise control boundary image matching using time-series moving average transform BS Kim, YS Moon, J Kim Database and Expert Systems Applications: 19th International Conference …, 2008 | 23 | 2008 |
SAMSTAR: An automatic tool for generating star schemas from an entity-relationship diagram IY Song, R Khare, Y An, S Lee, SP Kim, J Kim, YS Moon Conceptual Modeling-ER 2008: 27th International Conference on Conceptual …, 2008 | 21 | 2008 |
MRDataCube: Data cube computation using MapReduce S Lee, S Jo, J Kim 2015 International Conference on Big Data and Smart Computing (BigComp), 95-102, 2015 | 19 | 2015 |
Efficient distributed parallel top-down computation of ROLAP data cube using mapreduce S Lee, J Kim, YS Moon, W Lee Data Warehousing and Knowledge Discovery: 14th International Conference …, 2012 | 18 | 2012 |
MDARTS: A multiprocessor database architecture for hard real-time systems VB Lortz, KG Shin, J Kim IEEE Transactions on Knowledge and Data Engineering 12 (4), 621-644, 2000 | 16 | 2000 |
Photo cube: an automatic management and search for photos using mobile smartphones J Kim, S Lee, JS Won, YS Moon 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure …, 2011 | 13 | 2011 |
A single index approach for time-series subsequence matching that supports moving average transform of arbitrary order YS Moon, J Kim Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006 | 12 | 2006 |
Distributed graph cube generation using Spark framework S Kang, S Lee, J Kim The Journal of Supercomputing 76 (10), 8118-8139, 2020 | 11 | 2020 |
Scalable distributed data cube computation for large-scale multidimensional data analysis on a Spark cluster S Lee, S Kang, J Kim, EJ Yu Cluster Computing 22, 2063-2087, 2019 | 11 | 2019 |
A multi-dimensional analysis and data cube for unstructured text and social media S Lee, N Kim, J Kim 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 11 | 2014 |
Fast normalization-transformed subsequence matching in time-series databases YS Moon, J Kim IEICE transactions on information and systems 90 (12), 2007 | 10 | 2007 |
Implementation of Storage Manager to Maintain Efficiently Stream Data in Ubiquitous Sensor Networks SA Lee, JH Kim, SH Shin, SB Nam Journal of the Institute of Electronics Engineers of Korea CI 46 (3), 24-33, 2009 | 8 | 2009 |
MRTensorCube: tensor factorization with data reduction for context-aware recommendations S Kim, S Lee, J Kim, YI Yoon The Journal of Supercomputing 76, 7847-7857, 2020 | 7 | 2020 |
Efficient level-based top-down data cube computation using MapReduce S Lee, J Kim, YS Moon, W Lee Transactions on Large-Scale Data-and Knowledge-Centered Systems XXI …, 2015 | 7 | 2015 |
OLGAVis: On-Line Graph Analysis and Visualization for Bibliographic Information Network S Jo, B Park, S Lee, J Kim Applied Sciences 11 (9), 3862, 2021 | 5 | 2021 |
Design and development of visualization tool for movie review and sentiment analysis YS You, S Lee, J Kim Proceedings of the Sixth International Conference on Emerging Databases …, 2016 | 5 | 2016 |