Finding items cannibalization and synergy by BWS data
Lipovetsky, S.; Conklin, M.
Journal of Choice Modelling 12: 1-9
2014
ISSN/ISBN: 1755-5345 DOI: 10.1016/j.jocm.2014.08.001
Accession: 084041688
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References
Dai, H.; Shahzad, M.; Liu, A.X.; Zhong, Y. 2016: Finding persistent items in data streams Proceedings of the VLDB Endowment 10(4): 289-300Cormode, G.; Hadjieleftheriou, M. 2009: Finding the Frequent Items in Streams of Data Communications of the Acm 52(10): 97-105
Yang, T.; Zhang, H.; Yang, D.; Huang, Y.; Li, X. 2019: Finding significant items in data streams Proceedings - International Conference on Data Engineering 2019-April: 1394-1405
Charikar, M.; Chen, K.; Farachcolton, M. 2004: Finding frequent items in data streams Theor. Comput. Sci 312(1): 3-15
Fan, Z.; Zhang, Y.; Yang, T.; Yan, M.; Wen, G.; Wu, Y.; Li, H.; Cui, B. 2022: PeriodicSketch: Finding Periodic Items in Data Streams Proceedings - International Conference on Data Engineering 2022-May: 96-109
Wenfeng, F.; Qiao, G.; Zhibin, Z. 2006: Finding hierarchical frequent items in data streams Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 2: 5972-5976
Hung, R.Y.S.; Lai, K.F.; Ting, H.F. 2008: Finding frequent items in a turnstile data stream Lecture Notes in Computer Science 5092 LNCS: 498-509
Cormode, G.; Hadjieleftheriou, M. 2009: Methods for finding frequent items in data streams The VLDB Journal 19(1): 3-20
Cormode, G.; Hadjieleftheriou, M. 2010: Methods for finding frequent items in data streams The Vldb Journal 19(1): 3-20
Sun, X. 2014: Finding dependency of test items from students' response data Studies in Computational Intelligence 524: 329-342
Ebrahim, A.; Khalifat, J. 2020: An Efficient Hardware Architecture for Finding Frequent Items in Data Streams Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors 2020-October: 113-119
Feng, W.; Guo, Q.; Wu, S. 2006: Finding frequent items of data streams based on hierarchical sketch Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 26(6): 512-516
Huang, J.; Liang, Q.; Shao, J.; Wang, Q.; Zhao, Y.; Li, H.; Li, S.; Lin, S. 2024: P2Sketch: Finding Persistent Items in Data Streams Based on Periodic Arrival Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference
Shi, Y.; Kim, M.; Chatterjee, S.; Tiwari, M.; Ghosh, S.; Rosales, R.óm. 2016: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Kdd: Proceedings. International Conference on Knowledge Discovery and Data Mining 2016: 1855-1864
Sarkar, K.; Chatterjee, P.; Pal, N.R. 2016: Finding Synergy Networks from Gene Expression Data: a Fuzzy-Rule-Based Approach IEEE Transactions on Fuzzy Systems 24(6): 1488-1499
Mishra, R.B.; Modi, N.K. 2014: A novel approach to cluster new data-items in previously clustered data-items using agglomerative clustering with single link International Journal of Applied Engineering Research 9(23): 19203-19209
Cao, L.; Shi, Q.; Liu, Y.; Zheng, H.; Xin, Y.; Li, W.; Yang, T.; Wang, Y.; Xu, Y.; Zhang, W.; Xu, M. 2024: Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top-k Items in Data Streams International Conference on Information and Knowledge Management, Proceedings: 3653-3657
Mereu, L. 2004: Linguistic data as complex items - Les données linguistiques en tant qu'items complexes What do we Speak about when we Speak of Linguistics? International Colloquium 21(3-4): 211-233
Cafaro, M.; Tempesta, P. 2011: Finding frequent items in parallel Concurrency and Computation: Practice and Experience 23(15): 1774-1788
Yue, S.; Li, N.; Wu, X.; Bai, Y.; Wang, C. 2025: Research on the Construction of Techno-Economic Synergy Assessment Model and Optimization Path of Computing-Energy Synergy of Artificial Intelligence Data Center 2025 5th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2025: 249-255