Big data analytics: a survey
The age of big data is now coming. But the traditional data analytics may not be able to
handle such large quantities of data. The question that arises now is, how to develop a high …
handle such large quantities of data. The question that arises now is, how to develop a high …
A survey of density based clustering algorithms
P Bhattacharjee, P Mitra - Frontiers of Computer Science, 2021 - Springer
Density based clustering algorithms (DBCLAs) rely on the notion of density to identify
clusters of arbitrary shapes, sizes with varying densities. Existing surveys on DBCLAs cover …
clusters of arbitrary shapes, sizes with varying densities. Existing surveys on DBCLAs cover …
Data stream clustering: a review
A Zubaroğlu, V Atalay - Artificial Intelligence Review, 2021 - Springer
Abstract Number of connected devices is steadily increasing and these devices continuously
generate data streams. Real-time processing of data streams is arousing interest despite …
generate data streams. Real-time processing of data streams is arousing interest despite …
Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction
G Pallotta, M Vespe, K Bryan - Entropy, 2013 - mdpi.com
Understanding maritime traffic patterns is key to Maritime Situational Awareness
applications, in particular, to classify and predict activities. Facilitated by the recent build-up …
applications, in particular, to classify and predict activities. Facilitated by the recent build-up …
Efficient density and cluster based incremental outlier detection in data streams
A Degirmenci, O Karal - Information Sciences, 2022 - Elsevier
In this paper, a novel, parameter-free, incremental local density and cluster-based outlier
factor (iLDCBOF) method is presented that unifies incremental versions of local outlier factor …
factor (iLDCBOF) method is presented that unifies incremental versions of local outlier factor …
Profiling relational data: a survey
Profiling data to determine metadata about a given dataset is an important and frequent
activity of any IT professional and researcher and is necessary for various use-cases. It …
activity of any IT professional and researcher and is necessary for various use-cases. It …
[图书][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
[图书][B] Introduction to data mining
WID Mining - 2006 - Springer
Introduction to Data Mining Page 1 CHAPTER 14 ■ ■ ■ 369 Introduction to Data Mining In
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …
OPTICS: Ordering points to identify the clustering structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone
tool to get insight into the distribution of a data set, eg to focus further analysis and data …
tool to get insight into the distribution of a data set, eg to focus further analysis and data …
On clustering validation techniques
Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover
distribution of patterns and interesting correlations in large data sets. It has been subject of …
distribution of patterns and interesting correlations in large data sets. It has been subject of …