Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review

YVS Murthy, SG Koolagudi - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

Are we ready for learned cardinality estimation?

X Wang, C Qu, W Wu, J Wang, Q Zhou - arXiv preprint arXiv:2012.06743, 2020 - arxiv.org
Cardinality estimation is a fundamental but long unresolved problem in query optimization.
Recently, multiple papers from different research groups consistently report that learned …

Synopses for massive data: Samples, histograms, wavelets, sketches

G Cormode, M Garofalakis, PJ Haas… - … and Trends® in …, 2011 - nowpublishers.com
Abstract Methods for Approximate Query Processing (AQP) are essential for dealing with
massive data. They are often the only means of providing interactive response times when …

[PDF][PDF] Similarity search in high dimensions via hashing

A Gionis, P Indyk, R Motwani - Vldb, 1999 - cs.princeton.edu
The nearest-or near-neighbor query problems arise in a large variety of database
applications, usually in the context of similarity searching. Of late, there has been increasing …

Models and issues in data stream systems

B Babcock, S Babu, M Datar, R Motwani… - Proceedings of the twenty …, 2002 - dl.acm.org
In this overview paper we motivate the need for and research issues arising from a new
model of data processing. In this model, data does not take the form of persistent relations …

Knowledge discovery from data streams

J Gama, PP Rodrigues, E Spinosa… - Web Intelligence and …, 2010 - ebooks.iospress.nl
In the last two decades, machine learning research and practice has focused on batch
learning, usually with small datasets. Nowadays there are applications in which the data are …

Fast vertical mining using diffsets

MJ Zaki, K Gouda - Proceedings of the ninth ACM SIGKDD international …, 2003 - dl.acm.org
A number of vertical mining algorithms have been proposed recently for association mining,
which have shown to be very effective and usually outperform horizontal approaches. The …

[图书][B] Handbook of approximation algorithms and metaheuristics

TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

Deep learning models for selectivity estimation of multi-attribute queries

S Hasan, S Thirumuruganathan, J Augustine… - Proceedings of the …, 2020 - dl.acm.org
Selectivity estimation-the problem of estimating the result size of queries-is a fundamental
problem in databases. Accurate estimation of query selectivity involving multiple correlated …

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 …