Data, Engineering and Applications Volume 2 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Shukla, Rajesh Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Big data.; Data mining.; Artificial intelligence.; Big Data.; Data Mining and Knowledge Discovery.; Artificial Intelligence.

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...