A generic framework for trace clustering in process mining
The goal of process discovery is to visualize event log data as a process model. In reality,
however, these models are often highly complex. Process trace clustering is a well-studied …
however, these models are often highly complex. Process trace clustering is a well-studied …
Dual: Acceleration of clustering algorithms using digital-based processing in-memory
Today's applications generate a large amount of data that need to be processed by learning
algorithms. In practice, the majority of the data are not associated with any labels …
algorithms. In practice, the majority of the data are not associated with any labels …
Enhancement of short text clustering by iterative classification
Short text clustering is a challenging task due to the lack of signal contained in short texts. In
this work, we propose iterative classification as a method to boost the clustering quality of …
this work, we propose iterative classification as a method to boost the clustering quality of …
Predicting regional economic indices using big data of individual bank card transactions
For centuries quality of life was a subject of studies across different disciplines. However,
only with the emergence of a digital era, it became possible to investigate this topic on a …
only with the emergence of a digital era, it became possible to investigate this topic on a …
EFFICIENT CLUSTERING OF SHORT TEXT STREAMS WITH AN APPLICATION TO FIND DUPLICATE QUESTIONS IN STACK OVERFLOW
MRH Rakib - 2023 - dalspace.library.dal.ca
This thesis focuses on the efficient clustering of short texts along with an application to find
duplicate questions in Stack Overflow. In the first part of this thesis, we discuss static and …
duplicate questions in Stack Overflow. In the first part of this thesis, we discuss static and …
Leveraging business process mining to obtain business intelligence and improve organizational performance
F Zandkarimi - 2023 - madoc.bib.uni-mannheim.de
The utilization of process mining event logs has emerged as a pivotal strategy for
organizations to achieve business intelligence, comprehend their processes, pinpoint …
organizations to achieve business intelligence, comprehend their processes, pinpoint …
Progression of chronic kidney disease in African Americans with type 2 diabetes mellitus using topology learning in electronic medical records
L Wang, X Zheng, LS Huang, J Xu, FC Hsu, SH Chen… - bioRxiv, 2018 - biorxiv.org
Background Chronic kidney disease (CKD) is a common, complex, and heterogeneous
disease impacting aging populations. Determining the landscape of disease progression …
disease impacting aging populations. Determining the landscape of disease progression …
An adaptive initial cluster centers selection algorithm for high-dimensional partition clustering
Z Gao, Y Fan, K Niu, T Wang - 2017 IEEE 15th Intl Conf on …, 2017 - ieeexplore.ieee.org
Cluster analysis is the process of partitioning a set of data objects into subsets, each subset
is a cluster, so that objects within a cluster have high similarity, but are very dissimilar to …
is a cluster, so that objects within a cluster have high similarity, but are very dissimilar to …
A modified method for high dimensional data clustering based on the combined approach of shared nearest neighbor clustering and unscented transform
M Ravichandran, KM Subramanian… - Journal of …, 2018 - ingentaconnect.com
This paper presents a novel approach to lessen the hubness dilemma and identify the curse
of dimensionality present in the high dimensional data by means of the shared nearest …
of dimensionality present in the high dimensional data by means of the shared nearest …
Discovering Predictors for Rapid Intensification of Cyclones in Bay of Bengal
M Aileni - 2022 - library.isical.ac.in
Accurate forecast of cyclone intensities is important for disaster preparedness in the coastal
areas. Intensity prediction becomes especially difficult when they undergo rapid …
areas. Intensity prediction becomes especially difficult when they undergo rapid …