Practical efficiency evaluation method for bibliographical data classification
| Autor: | Oleg Olegovich Kondrashov, Aleksandra I. Kononova, Ilona I. Kapitanova, Oleg I. Lisov, Evgeny N. Petrov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Data classification 02 engineering and technology 030204 cardiovascular system & hematology computer.software_genre Class (biology) 03 medical and health sciences 0302 clinical medicine Homogeneous Evaluation methods 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) Data mining computer Word (computer architecture) |
| Zdroj: | 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). |
| Popis: | Current state of computer science enables one to automatize routine tasks of increasing number in various spheres. One of such spheres is bibliographical data which still implies routine manual processing that causes human mistakes and considerable time waste. An important step for solving the problem is the development of bibliographical data classification algorithms as well as its efficiency evaluation methods. Existing evaluation methods consider the classification efficiency of each separate word while bibliographical data consists of homogeneous sequences that must be classified and evaluated together. This paper describes a new efficiency evaluation method that is suitable for bibliographical data classification efficiency evaluation due to it is taking into account not only the classification efficiency of each separate element but also the sequences of same class elements. Application of the developed method enables one to find the shortcomings of a classification algorithm and make conclusions concerning its practical applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|