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ORCIDDima Alberg
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2020 – today
- 2022
[j6]Dima Alberg, Nina Tessler:
Predicting aircraft maintenance timetofailure using the interval gradient regression tree algorithm. Intell. Decis. Technol. 16(1): 85-92 (2022)- 2021
- [j5]Eviatar Rosenberg, Dima Alberg:
An Open Source Finance System for Stocks Backtesting Trade Strategies. Int. J. Open Source Softw. Process. 12(2): 52-65 (2021)
2010 – 2019
- 2019
- [j4]Dima Alberg:
A Business Intelligence Project-Oriented Course: A Breast Cancer Research Case. Int. J. Bus. Intell. Res. 10(2): 29-35 (2019) - 2018
- [j3]Dima Alberg, Mark Last:
Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms. Vietnam. J. Comput. Sci. 5(3-4): 241-249 (2018) - 2017
- [c4]Dima Alberg, Mark Last:
Short-Term Load Forecasting in Smart Meters with Sliding Window-Based ARIMA Algorithms. ACIIDS (2) 2017: 299-307 - 2016
- [j2]Dima Alberg, Mark Last:
INPRET: The Interval Prediction Tree algorithm for temporal numerical data. Intell. Decis. Technol. 10(4): 407-418 (2016) - 2012
- [j1]Dima Alberg, Mark Last, Abraham Kandel:
Knowledge discovery in data streams with regression tree methods. WIREs Data Mining Knowl. Discov. 2(1): 69-78 (2012)
2000 – 2009
- 2009
- [c3]Dima Alberg, Mark Last, Roni Neuman, Avi Sharon:
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data. ICDM Workshops 2009: 208-213 - 2008
- [c2]Dima Alberg, Mark Last, Sigal Elnekave:
A Spatio-temporal Simulation Model for Movement Data Generation. ICDM Workshops 2008: 320-325 - 2007
- [c1]Gil Rachlin, Mark Last, Dima Alberg, Abraham Kandel:
ADMIRAL: A Data Mining Based Financial Trading System. CIDM 2007: 720-725
Coauthor Index
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