Special issue on challenges in knowledge discovery and data mining
Learning to predict opinion share and detect anti-majority opinionists in social networks
Transfer learning by centroid pivoted mapping in noisy environment
Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility
Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity
A framework for analysis of the effect of time on shopping behavior
MIRrors: Music Information Research reflects on its future
Evaluation in Music Information Retrieval
Classification accuracy is not enough
Automatic music transcription: challenges and future directions
Capturing the workflows of music information retrieval for repeatability and reuse
Feature learning and deep architectures: new directions for music informatics
Seven problems that keep MIR from attracting the interest of cognition and neuroscience
Toward an understanding of the history and impact of user studies in music information retrieval
The neglected user in music information retrieval research
The notion of diversity in graphical entity summarisation on semantic knowledge graphs
An intensional approach for periodic data in relational databases
Granular computing for relational data classification
Formal concept analysis approach for data extraction from a limited deep web database
A novel feature selection method and its application
Clinical reasoning gains in medical PBL: an UMLS based tutoring system
Querying now-relative data
A spectral approach to detecting subtle anomalies in graphs