Discrete wavelet transform-based time series analysis and mining

P Chaovalit, A Gangopadhyay, G Karabatis… - ACM Computing …, 2011 - dl.acm.org
Time series are recorded values of an interesting phenomenon such as stock prices,
household incomes, or patient heart rates over a period of time. Time series data mining …

[PDF][PDF] Survey of current network intrusion detection techniques

S Kumar - Washington Univ. in St. Louis, 2007 - cse.wustl.edu
The importance of network security has grown tremendously and a number of devices have
been introduced to improve the security of a network. Network intrusion detection systems …

Toward non-intrusive load monitoring via multi-label classification

SM Tabatabaei, S Dick, W Xu - IEEE Transactions on Smart …, 2016 - ieeexplore.ieee.org
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

BIRCH: an efficient data clustering method for very large databases

T Zhang, R Ramakrishnan, M Livny - ACM sigmod record, 1996 - dl.acm.org
Finding useful patterns in large datasets has attracted considerable interest recently, and
one of the most widely studied problems in this area is the identification of clusters, or …

Stock index forecasting based on a hybrid model

JJ Wang, JZ Wang, ZG Zhang, SP Guo - Omega, 2012 - Elsevier
Forecasting the stock market price index is a challenging task. The exponential smoothing
model (ESM), autoregressive integrated moving average model (ARIMA), and the back …

[Retracted] Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer's Disease Detection

M Kamal, AR Pratap, M Naved… - Computational …, 2022 - Wiley Online Library
Alzheimer's disease is characterized by the presence of abnormal protein bundles in the
brain tissue, but experts are not yet sure what is causing the condition. To find a cure or …

A comparative study on content-based music genre classification

T Li, M Ogihara, Q Li - Proceedings of the 26th annual international ACM …, 2003 - dl.acm.org
Content-based music genre classification is a fundamental component of music information
retrieval systems and has been gaining importance and enjoying a growing amount of …

Survey of data management and analysis in disaster situations

V Hristidis, SC Chen, T Li, S Luis, Y Deng - Journal of Systems and …, 2010 - Elsevier
The area of disaster management receives increasing attention from multiple disciplines of
research. A key role of computer scientists has been in devising ways to manage and …

Wavelet-based histograms for selectivity estimation

Y Matias, JS Vitter, M Wang - Proceedings of the 1998 ACM SIGMOD …, 1998 - dl.acm.org
Query optimization is an integral part of relational database management systems. One
important task in query optimization is selectivity estimation, that is, given a query P, we …

Drw-ae: A deep recurrent-wavelet autoencoder for underwater target recognition

M Khishe - IEEE Journal of Oceanic Engineering, 2022 - ieeexplore.ieee.org
The sonar received signals may contain various artifacts such as noise, reverberation, and
clutter that affect the proper target recognition and classification capabilities of sonar …