[HTML][HTML] Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review
U Hewage, R Sinha, MA Naeem - Artificial Intelligence Review, 2023 - Springer
This study investigates existing input privacy-preserving data mining (PPDM) methods and
privacy-preserving data stream mining methods (PPDSM), including their strengths and …
privacy-preserving data stream mining methods (PPDSM), including their strengths and …
Big data analytics and preprocessing
Big data is a trending word in the industry and academia that represents the huge flood of
collected data, this data is very complex in its nature. Big data as a term used to describe …
collected data, this data is very complex in its nature. Big data as a term used to describe …
Public communication conflicts between the central government and the DKI Jakarta government in handling the COVID-19 pandemic
A Windarsih - … Conference on Social Science, Political Science …, 2021 - atlantis-press.com
Since it was announced that there was the first Covid-19 case on March 2, 2020, Indonesia
is currently entering its 7th month. The number of cases continues to increase eventhough …
is currently entering its 7th month. The number of cases continues to increase eventhough …
Empirical evaluation of various classification methods
Humans are anxious to know how computer will venture on data, citation of teaching a
computer about the data in order to get relieved from the programming at every step by the …
computer about the data in order to get relieved from the programming at every step by the …
[PDF][PDF] Privacy‑preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic
U Hewage, R Sinha, MA Naeem - 2023 - openrepository.aut.ac.nz
This study investigates existing input privacy-preserving data mining (PPDM) methods and
privacy-preserving data stream mining methods (PPDSM), including their strengths and …
privacy-preserving data stream mining methods (PPDSM), including their strengths and …
Optimising the Trade-Off Between Accuracy and Privacy in Data Stream Mining Environments
UHWA Hewage - 2022 - openrepository.aut.ac.nz
Data streams differ from static datasets due to numerous characteristics such as being
incremental, high speed, high volume, subject to concept drift, and dynamically adapting …
incremental, high speed, high volume, subject to concept drift, and dynamically adapting …
A Taxonomy of Methods for Handling Data Streams in Presence of Concepts Drifts
V Mittal, R Srivastava - Futuristic Trends in Networks and Computing …, 2020 - Springer
Abstract Concept drift is the scenario in online learning in which value of target variable
changes with respect to time. The learning algorithms should be adaptive in nature in order …
changes with respect to time. The learning algorithms should be adaptive in nature in order …
[PDF][PDF] Social Network Analysis Using Twitter Data
R Mishra, P Katre, R Srivastava - 2020 - academia.edu
Social media is a well-known platform for user to create, share and check the new
information which is being updated on a daily basis. The world has become a global village …
information which is being updated on a daily basis. The world has become a global village …