- Tytuł:
- A survey of big data classification strategies
- Autorzy:
-
Banchhor, Chitrakant
Srinivasu, N. - Tematy:
-
big data
data mining
MapReduce
classification
machine learning
evolutionary intelligence
deep learning - Pokaż więcej
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Powiązania:
- https://bibliotekanauki.pl/articles/2050171.pdf Link otwiera się w nowym oknie
- Opis:
- Big data plays nowadays a major role in finance, industry, medicine, and various other fields. In this survey, 50 research papers are reviewed regarding different big data classification techniques presented and/or used in the respective studies. The classification techniques are categorized into machine learning, evolutionary intelligence, fuzzy-based approaches, deep learning and so on. The research gaps and the challenges of the big data classification, faced by the existing techniques are also listed and described, which should help the researchers in enhancing the effectiveness of their future works. The research papers are analyzed for different techniques with respect to software tools, datasets used, publication year, classification techniques, and the performance metrics. It can be concluded from the here presented survey that the most frequently used big data classification methods are based on the machine learning techniques and the apparently most commonly used dataset for big data classification is the UCI repository dataset. The most frequently used performance metrics are accuracy and execution time.
- Dostawca treści:
- Biblioteka Nauki
Artykuł