Hybrid Recommender System For Spatiotemporal Data
This work discusses a framework RAiSE which is a tailored hybrid recommendation engine which recommends best areas for sowing a particular crop based on climatic pattern exploration.The system exploits the merits of different techniques namely- parallel processing, clustering and classification in obtaining the results. It uses the power of new age big data technologies like Hadoop in achieving its goals.
CHF 52.90
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V105:
Folgt in ca. 15 Arbeitstagen
Produktdetails
Weitere Autoren: Singh, Vijendra
- ISBN: 978-613-9-86778-3
- EAN: 9786139867783
- Produktnummer: 37373862
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 56 S.
- Masse: H22.0 cm x B15.0 cm x D0.3 cm 102 g
- Abbildungen: Paperback
- Gewicht: 102
Über den Autor
Ms Priyanka is an Assistant Professor at the NorthCap University,Gurugram. She has worked for an IT company for 3 years before pursuing a career in academics. She is B.Tech from Jaypee University of Information Technology (JUIT), Solan. She completed her M.Tech (Gold Medalist)in Computer Science and currently pursuing PhD from NCU.
3 weitere Werke von Priyanka Rastogi:
Bewertungen
Anmelden