1st Workshop on Fractals and Self-Similarity in Data Mining: Issues and Approaches (IN KDD) | July 2002 Download BibTex Over the last few years, the network community has started to rely heavily on the use of novel concepts such as fractals, self-similarity, long-range ...
Similarity Discovery Techniques in Temporal Data Mining时态数据挖掘的相似性发现技术数据挖掘时态数据相似性发现时态规则Temporal data mining (TDM) has been attracting more and more interest from a vast range of domains, from engineering to finance. Similarity discovery technique concentrates on the evolution...
Before going to explain different similarity distance measures let me explain the the effective key term similarity in datamining. This similarity is the very basic building block for activities such as Recommendation engines, clustering, classification and anomaly detection....
Mining bioinformatics data is an emerging area of research. Proteomics is one of the largest areas of focus in bioinformatics and data mining research. Pro... SR Krystek,WJ Metzler,J Novotny - 《Current Protocols in Protein Science》 被引量: 86发表: 2008年 Improvement of protein structure comp...
Surprisingly, although image processing, information retrieval and data mining have had a large impact on many human endeavors, they have had essentially zero impact on the study of rock art. In this work we identify the reasons for this, and introduce a novel distance measure and algorithms ...
DISC: data-intensive similarity measure for categorical data The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regres... A Desai,H Singh,V Pudi - Knowledge Discovery & Data Mining 被引量: 32发表: 2011...
Measuring the similarity between categorical sequences is a fundamental process in many data mining applications. A key issue is to extract and make use of significant features hidden behind the chronological and structural dependencies found in these sequences. Almost all existing algorithms designed to...
calculates the similarity between the rules decided by the rate of records common to two rules among the plurality of rules among respective records satisfying the consequences, and obtains inclusive relations between the rules from the rate of matched record items to mismatched record items in the ...
Similarity search on time-series data sets is of growing importance in data mining. With the increasing amount of data of time-series in many applications, from financial to scientific, it is important to study the methods of retrieving similarity patterns efficiently and user friendly for business...
[Lecture Notes in Computer Science] Brain Informatics and Health Volume 9919 || A Comprehensive Feature and Data Mining Study on Musician Memory Processing... This thesis describes research work undertaken in the field of image mining (particularly medical image mining). More specifically, the resear...