Text Data Analysis in Chinese Folk Music with Effective Clustering Model toward Feature Identification of Inheritance

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Text Document Clustering Using DPM with Concept and Feature Analysis

Clustering is one of the most important techniques in machine learning and data mining tasks. Similar documents are grouped by performing clustering techniques. Similarity measuring is used to determine transaction relationships. Hierarchical clustering model produces tree structured results. Partitioned based clustering produces the outcome in grid format. Text documents are unstructured data ...

Anthropological Study of Folk Music in Gilan Province in Iran (Instrumental Music)

Ethno-musicology is an academic field encompassing various approaches to the study of music that emphasize its cultural, social, material, cognitive, biological, and other dimensions or contexts instead of its isolated ‘sound’ component or any particular repertoire. The term ‘Ethno-musicology’ became common in1950, although the emergence of the field can be traced back to the late nineteenth ce...

A Method for Comparative Analysis of Folk Music Based on Musical Feature Extraction and Neural Networks

A common problem in comparative musicology and ethnomusicology is that large collections of music are difficult to classify and visualize. Therefore, a tool which could be applied to either acoustic signals or symbolic representations would be useful. The choice of the features that are extracted from a collection of music and subsequently used by the tool should be psychologically relevant for...

Optical Music Recognition: Feature Identification