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(PDF) Audio Data Mining Using Multi-perceptron Artificial ...
https://www.researchgate.net/publication/239929742_Audio_Data_Mining_Using_Multi-perceptron_Artificial_Neural_Network
PDF | Data mining is the activity of analyzing a given set of data. It is the process of finding patterns from large relational databases. ... approach for audio data …
(PDF) Audio Clustering Using Data Mining | IASET US ...
https://www.academia.edu/3239421/Audio_Clustering_Using_Data_Mining
Audio Clustering Using Data Mining. INTRODUCTIONData mining offers great promise in helping organizations uncover patterns hidden in their data that can …
Audio Data Mining Using Multi-perceptron Artificial Neural ...
http://paper.ijcsns.org/07_book/200810/20081034.pdf
Audio Data Mining Using Multi-perceptron Artificial Neural Network 1 Su r enda h ty,2 K.Achary 1D e p tofCm u rA l ic ans ,NM IOT h gy U dK k P -57410 2D ep tofS aisc ,M ngl rU v y h Id PN-57419 Abstract--Data mining is the activity of analyzing a given set of data. It is the process of finding patterns from large relational databases.
Ringermute: An audio data mining toolkit
https://www.cse.unr.edu/~dascalus/CATA2010_Levy.pdf
While data mining tools are plentiful, audio feature recog-nition is still an evolving area of research, and very few audio tools are designed with the needs of machine learn-ing in mind. Even ignoring the vast majority of tools that are designed for music or multimedia production,
Ringermute: An audio data mining toolkit
https://www.cse.unr.edu/~fredh/papers/thesis/027-levy/thesis.pdf
While data mining tools are plentiful, audio feature recognition is still an evolving area of research, and very few audio tools are designed with the needs of machine learning in mind. Even ignoring the vast majority of tools that are designed for music or multimedia production, most audio analysis tools are focused on DSP, and
Evaluation of Deep Learning and Data Mining Techniques for ...
http://www.ijmsta.com/Vol_2_1_Papers/IJMSTA_Paper_2.pdf
the audio signals; thereby the important features can be extracted. For stream data mining, data records are streamed for the classifiers according to a specific frequency For each feature (Chroma and spectral), mean and standard deviation are calculated to summarize the values of a music track in addition to 10 features from MFCCs.
Ringermute: An Audio Data Mining Toolkit. | Request PDF
https://www.researchgate.net/publication/221206182_Ringermute_An_Audio_Data_Mining_Toolkit
Request PDF | Ringermute: An Audio Data Mining Toolkit. | Acknowledgments The completion of this thesis would not have been possible without Dr. …
Data Mining: Web Data Mining Techniques, Tools and ...
https://thesai.org/Downloads/Volume9No6/Paper_30-Data_Mining_Web_Data_Mining_Techniques.pdf
logs). Web data mining is a sub discipline of data mining which mainly deals with web. Web data mining is divided into three different types: web structure, web content and web usage mining. All these types use different techniques, tools, approaches, algorithms for discover information from huge bulks of data over the web.
Data Mining Concepts and Techniques (3rd ed.)
https://doc.lagout.org/Others/Data%20Mining/Data%20Mining%20Concepts%20and%20Techniques%20%283rd%20ed.%29%20%5BHan%2C%20Kamber%20%26%20Pei%202011-07-06%5D.pdf
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, 3rd Edition Ian Witten, Eibe Frank, Mark A. Hall Joe Celko's Data and Databases: Concepts in Practice Joe Celko Developing Time-Oriented Database Applications in SQL Richard T. Snodgrass
Review Paper Data Mining Techniques and …
http://www.hgsitebuilder.com/files/writeable/uploads/hostgator427959/file/ijars191.pdf
temporal data mining (sequential data) where audio records are ordered or indexed by time. The ordering is important and is central to the speech description or modeling. In this section, we provide a brief overview of data mining techniques which relevant to classification, clustering and search & retrieval of speech applications.
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