A method for classification of missing values using data mining techniques

BS Panda, RK Adhikari - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
This paper is intended for research in the area of Data Mining. The classification accuracy is
improved by attributing the missing values of data. The effective attributing method model …

[PDF][PDF] A novel approach for weather forecasting using machine learning techniques

BS Panda, PV Lasyasri, D Maneesha… - J. Comput. Sci …, 2020 - csjournals.com
Prediction of weather in general is a complex process and challenging task. It requires
different parameters to estimate the climate. Observing its job in consistently today …

Empirical study of big data mining technology in English teaching integration and optimization analysis

C Qiu - Proceedings of the 2020 International Conference on …, 2020 - dl.acm.org
In recent years, teaching staff has increased the frequency of application of multimedia
teaching equipment in subject teaching. The scientific application of the teaching staff to the …

An Optimization-Based Clustering Method used for an Efficient Oil and Gas Fields Pipelines Design

I Al-Jadir, AA Ibrahim - 2022 Iraqi International Conference on …, 2022 - ieeexplore.ieee.org
An oil and gas pipelines network design is essential for the field production engineer.
Therefore a well-studied plan of the area where the pipeline network must be installed. In …

[PDF][PDF] DLSTM-MSF: Distributed LSTM Models for Multimedia Streaming Workload Forecasting Based on Kafka Environment

SD Khudhur, HA Jeiad - ijccce.uotechnology.edu.iq
This paper introduces DLSTM-MSF, a distributed approach designed to address the
challenge of demand forecasting in multimedia streaming workloads. DLSTM-MSF …