Big Data in Engineering Applications
☆☆☆☆☆
(0 reviews)
Lowest price (incl. delivery)
175,49 EUR
Typical price4 141,29 PLN
Lowest (90 days)160,49 PLN
Offers7
Last updated1 minggu yang lalu
Price history (90 days)
Full history
2026-08-08
2026-08-15
| Diperbarui Pada | Harga |
|---|---|
| 2026-08-08 | 160,49 |
| 2026-08-15 | 179,99 |
| Penjual | Product price | Delivery | Total | Ketersediaan | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 160,49 EUR | 15,00 EUR | 175,49 EUR | Tersedia | 6 hari yang lalu | View offer |
| SP SpringerNatureLink Shop INT | 28 599,00 JPY | 19,00 JPY | 28 618,00 JPY | Tersedia | 6 hari yang lalu | View offer |
| SP Springer Nature Author | 28 599,00 JPY | free | 28 599,00 JPY | Tersedia | 1 minggu yang lalu | View offer |
| SP SpringerNatureLink Shop INT | 199,99 USD | 15,00 USD | 214,99 USD | Tersedia | 6 hari yang lalu | View offer |
| SP SpringerNatureLink Shop INT | 219,99 USD | 19,00 USD | 238,99 USD | Tersedia | 6 hari yang lalu | View offer |
| SP SpringerNatureLink Shop INT | 219,99 USD | 25,00 USD | 244,99 USD | Tersedia | 6 hari yang lalu | View offer |
| SP SpringerNatureLink Shop INT | 236,00 EUR | 29,00 EUR | 265,00 EUR | Tersedia | 6 hari yang lalu | View offer |
Harga dan ketersediaan dapat berubah. Terakhir Diperbarui: 08.08.2026 23:36.
0,0
☆☆☆☆☆
0 reviews
5★
0%
4★
0%
3★
0%
2★
0%
1★
0%
Product reviews
No reviews yet — be the first!
This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.