Tekijä: Muhammad Usman Amin; Muhammad Aamir Iqbal; Abu Saeed Hashmi Kustantaja: LAP Lambert Academic Publishing (2013) Saatavuus: Noin 11-14 arkipäivää
Tekijä: Muhammad Usman Shahid Khan; Samee U. Khan; Albert Y. Zomaya Kustantaja: Institution of Engineering&Technology (2020) Saatavuus: Noin 8-11 arkipäivää
Tekijä: Khalid Mahmood Zia; Nadia Akram; Shazia Tabasum; Aqdas Noreen; Muhammad Usman Akbar Kustantaja: Elsevier - Health Sciences Division (2021) Saatavuus: | Arvioimme, että tuote lähetetään meiltä noin 1-3 viikossa
IGI Global Sivumäärä: 125 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2018, 30.01.2018 (lisätietoa) Kieli: Englanti
Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.