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A survey on wavelet applications in data mining

Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara
2002 SIGKDD Explorations  
Recently there has been significant development in the use of wavelet methods in various data mining processes. However, there has been written no comprehensive survey available on the topic.  ...  The paper concludes by discussing the impact of wavelets on data mining research and outlining potential future research directions and applications.  ...  His primary research interests are: data mining, machine learning and music information retrieval.  ... 
doi:10.1145/772862.772870 fatcat:3ruxy2cknze2lh2paxlzpe55ta

A Review of Denoising Medical Images Using Machine Learning Approaches

Prabhpreet Kaur, Gurvinder Singh, Parminder Kaur
2018 Current Medical Imaging Reviews  
In most of the applications, the machine learning performance is better than the conventional image denoising techniques.  ...  This survey identifies the ML approach with better accuracy for medical diagnosis by radiologists.  ...  : "Digital Image Denoising in Medical Ultrasound Images: A Survey" [28] Author: "N.  ... 
doi:10.2174/1573405613666170428154156 pmid:30532667 pmcid:PMC6225344 fatcat:tyfmwr7dszh2paqx7m4ktue4oi

An Efficient Approach of Artificial Neural Network in Runoff Forecasting

Satanand Mishra, Prince Gupta, S. K. Pandey, J. P. Shukla
2014 International Journal of Computer Applications  
This survey paper focused on data mining technique based on artificial neural network and its application in runoff forecasting.  ...  On the basis of this comparative study, it is tried to find out better approach in perspective of research work.  ...  Neural Network Based on Back Propagation Approach A large number of techniques have been deployed on or before implementation of BPNN technique of Data Mining in field of hydrological predictions.  ... 
doi:10.5120/16003-4991 fatcat:r4d2vpehofeezpelbb2hvljsai

Challenges of the Seismic Image Resolution for Gas Exploration in the East Mediterranean Sea

Moataz Barakat, Nader El-Gendy, Adly El-Nikhely, Ahmed Zakaria, Hany Hellish
2021 Journal of Petroleum and Mining Engineering  
The application of wavelet-dependent De-signature workflow will be discussed in this work, over the study area from offshore Egypt, which is characterised by a complex water bottom.  ...  The work includes a summary of the most interesting basins in the East Mediterranean in terms of geology and structure, as well as the challenges of seismic exploration and a workflow to eliminate one  ...  Acknowledgements The authors wish to thank PGS for their support and Joshua May, Charles Zeltser, and Mokhtar Raafat for providing the raw seismic data, Special thanks to the editor-in-Chief, and the reviewers  ... 
doi:10.21608/jpme.2021.86935.1092 fatcat:v7o3c4f2afbrzjc3hjtka4mlry

Analysis of rock mass destruction processes with different activity diagrams

Wieslaw Piwowarski
2016 Acta geodynamica et geomaterialia  
The emergence of the conflict -the occurrence of a critical event -has been estimated on the basis of the lemma for reaching of the outer extremes, in terms of equivalence relations in a fixed set of circumstances  ...  The application layer contains specific examples of estimating the risk of a critical event arising. ARTICLE INFO  ...  Researches in this field refer to the applications of so called Dynamic Data Driven Applications Systems (DDDAS) (Burges, 1998; Januszewski, 2006) .  ... 
doi:10.13168/agg.2016.0030 fatcat:dt3ckwupwbaahoxd6omubwcpsu

Prediction and Analysis of Heart Disease Using SVM Algorithm

Madhura Patil
2019 International Journal for Research in Applied Science and Engineering Technology  
Heart disease prediction using data mining is one of the most interesting and challenging tasks.  ...  Here system applies support vector machine algorithm on historical information/data of patient and it provides features like Age, Sex, Smoking, Overweight, Alcohol Intake, Bad Cholesterol ,Blood Pressure  ...  The paper, in addition, gives a review of the data mining techniques used for the prediction. Vikas Chaurasia et al.  ... 
doi:10.22214/ijraset.2019.1137 fatcat:hjjbkjyyj5cupkjji6fvfmcjcy

Enhancing breast cancer detection using data mining classification techniques

Florije Ismaili, Luzana Shabani, Bujar Raufi, Jaumin Ajdari, Xhemal Zenuni
2017 Pressacademia  
In this paper we have discussed various data mining approaches that have been utilized for breast cancer diagnosis and prognosis.  ...  We have proposed a breast cancer prediction framework consisting of four main modules: Data Collection, Data Preprocessing, Feature Selection, and Classification.  ...  In this paper we propose a breast cancer prediction framework based on data mining classification techniques.  ... 
doi:10.17261/pressacademia.2017.605 fatcat:kmwjywzjrfckninik54jawvxlu

Discrete wavelet transform-based time series analysis and mining

Pimwadee Chaovalit, Aryya Gangopadhyay, George Karabatis, Zhiyuan Chen
2011 ACM Computing Surveys  
Time series data mining focuses on discovering interesting patterns in such data. This article introduces a wavelet-based time series data analysis to interested readers.  ...  It provides a systematic survey of various analysis techniques that use discrete wavelet transformation (DWT) in time series data mining, and outlines the benefits of this approach demonstrated by previous  ...  CONCLUSION In this article, we reviewed the literature in the field of discrete wavelet transform (DWT), and the application of DWT on time series data analysis and mining.  ... 
doi:10.1145/1883612.1883613 fatcat:mddxicngdbfq7b7rbmdzfub3eq

The Text Mining Analysis of Macau's Participation in International Organizations

Wu Shianghau, Liu Chengkun, Shi Haoyu, Pang Chuan
2016 International Journal of u- and e- Service, Science and Technology  
In order to comprehend the new policy directions regarding Macau's participation in international organizations, this paper made the depth interviews and applied the text mining analysis to the interviews  ...  In recent years, Macau has actively participated in international organizations according to the Macau Basic Law.  ...  The fact that wavelets capture the temporal nature of the data is quite essential [10] . Many researches were devoted to the application of wavelet transformation to data mining.  ... 
doi:10.14257/ijunesst.2016.9.11.07 fatcat:6jo5w52tvfbmxdxfv33pwmhixi

Application of Time-Domain Full Waveform Inversion to Cross-Hole Radar Data Measured at Xiuyan Jade Mine, China

Sixin Liu, Xintong Liu, Xu Meng, Lei Fu, Qi Lu, Li Deng
2018 Sensors  
Furthermore, the locations of the interpreted mined-out zones are in good agreement with the existing mining channels recorded by geological data.  ...  Xiuyan Jade, produced in Xiuyan County, Liaoning Province, China is one of the four famous jade in China. King Jade, which is deemed the largest jade body of the world, was broken out from a hill.  ...  Conflicts of Interest: The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results  ... 
doi:10.3390/s18093114 pmid:30223558 pmcid:PMC6164836 fatcat:waxrxork6jdfpe4iulun4roqki

A Video Mining Application for Image Retrieval

Lakshmi Rupa G., Gitanjali J.
2011 International Journal of Computer Applications  
The wavelength coefficients are computed on the image and all the video frames/shots for a full search function in all the frames of the indexed video.  ...  A video digital library is build which is composed of stream shots and the wavelet coefficients for these shots.  ...  Wavelet coefficient database The wavelet coefficient is applied on each frame in all stream shots and stored in a database.  ... 
doi:10.5120/2410-3214 fatcat:ro5cov6npngehdn2wl4khhqt24

Application of an Automatic Noise or Signal Removal Algorithm Based on Synchrosqueezed Continuous Wavelet Transform of Passive Surface Wave Imaging: A Case Study in Sichuan, China

Jie Fang, Guofeng Liu, Yu Liu
2021 Applied Sciences  
Passive surface wave imaging based on noise cross-correlation has been a research hotspot in recent years.  ...  With an automatic noise or signal removal algorithm based on synchrosqueezed continuous wavelet transform (SS-CWT), these problems can be alleviated.  ...  Typical ambient noise data recorded by a geophone in the survey area. Figure 2 . 2 Figure 2. Typical ambient noise data recorded by a geophone in the survey area.Figure 2.  ... 
doi:10.3390/app112411718 fatcat:2khvar7uhnhadnt6yecz33spuy

New method for denoising borehole transient electromagnetic data with discrete wavelet transform

Xueping Dai, Li Zhen Cheng, Jean-Claude Mareschal, Daniel Lemire, Chong Liu
2019 Journal of Applied Geophysics  
Discrete wavelet transform (DWT) has been widely used as a useful tool in denoising geophysical data for its outstanding feature of detecting singularities and transients.  ...  In this paper, we develop a new strategy of denoising borehole transient electromagnetic (BHTEM) data.  ...  In a BHTEM survey, one or multiple large transmitter loops are laid out on the surface and a receiver moves downhole (Lamontagne and Milkereit, 2007) .  ... 
doi:10.1016/j.jappgeo.2019.05.009 fatcat:7vxd3rme5bew7eiqif5hpfusuu

Data mining to aid policy making in air pollution management

Sheng-Tun Li, Li-Yen Shue
2004 Expert systems with applications  
The application of multi-scale wavelet transforms contributes greatly in removing noises and identifying the trend of data.  ...  In addition, the proposed two-level self-organization map neural network demonstrates its ability in identifying clusters on the highdimensional wavelet-transformed space.  ...  Acknowledgements The authors would like to thank Dr Jeng Jong Pan for his valuable advises on continuous wavelet transform. This work was supported in part by NSC87-2213-E-327-001, Taiwan, ROC.  ... 
doi:10.1016/j.eswa.2004.05.015 fatcat:hswwfdvhsvftrfu23hzhgw5c7y

THE SURVEY OF SOFT COMPUTING TECHNIQUES FOR RELIABILITY PREDICTION

Jarosław Smoczek
2015 Journal of KONES Powertrain and Transport  
This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression  ...  The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem  ...  [32] widely surveyed the online failure prediction techniques focusing attention mainly on the predictive applications in software and hardware equipments of computer systems.  ... 
doi:10.5604/12314005.1138154 fatcat:rpenk3etgbc2dgsza6ula6otwq
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