LEADER 03210oam 2200445 450 001 9910484686503321 005 20210413090509.0 010 $a3-030-63139-7 024 7 $a10.1007/978-3-030-63139-0 035 $a(CKB)4100000011746961 035 $a(DE-He213)978-3-030-63139-0 035 $a(MiAaPQ)EBC6471698 035 $a(PPN)253861691 035 $a(EXLCZ)994100000011746961 100 $a20210413d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData analytics in the era of the industrial internet of things /$fAldo Dagnino 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XVII, 133 p. 61 illus., 53 illus. in color.) 300 $aIncludes index. 311 $a3-030-63138-9 327 $aChapter 1: Industrial Internet of Things Framework -- Chapter 2: Industrial Analytics -- Chapter 3: Machine Learning to Predict Fault Events in Power Distribution Systems -- Chapter 4: Analyzing Events and Alarms in Control Systems -- Chapter 5: Condition Monitoring of Rotating Machines in Power Generation Plants -- Chapter 6: Machine Learning Recommender for New Products and Services -- Chapter 7: Managing Analytic Projects in the IIoT Enterprise. 330 $aThis book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts? decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision making in the IIoT enterprise. Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects. 606 $aQuantitative research$xData processing 615 0$aQuantitative research$xData processing. 676 $a001.420285632 700 $aDagnino$b Aldo$01217105 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910484686503321 996 $aData analytics in the era of the industrial internet of things$92814671 997 $aUNINA