[PDF] Top 20 Advanced process data analytics

... their data correctly and efficiently, and ideally, the software should involve minimum decision-making procedures to automate the data analytics ...ing data, which combines the expert ... Voir le document complet

... We demonstrate that predictions from machine learning are superior to those of econometrics or statis- tical models, because machine learning is not constrained to the [r] ... Voir le document complet

... This process involves any operation which tries to qualify or quantify uncertainty, thus generating infor- mation about ...to data, to describe their thoughts, doubts and their own or collaborative informal ... Voir le document complet

... 5.2. Platform as a service On top of these nodes, Docker and Kubernetes technologies are used respectively as containerization and orchestration solutions. The Docker technical foundation allows to standardize the ... Voir le document complet

... Big Data The most important question that arises at this point of time is how do we store and process such huge amount of data; most of which is raw, semi structured, and may be ...Big data ... Voir le document complet

... of data in a timely manner via Distributed Stream Processing ...incoming data and edges representing the data streams between ...the data is generated, hence minimising the overall time ... Voir le document complet

... Abstract—Big Data analytics has recently gained increasing popularity as a tool to process large amounts of data ...Apache-hosted data analytics frame- works that facilitate the ... Voir le document complet

... With this additional information, each agent can and has to choose to cooperate with the most critical agent he is aware of. This leads to a very powerful heuristic to cut through a search space so as to drive the system ... Voir le document complet

... The data used for the experiment are letters ‘a’, ‘b’, ‘c’, ‘d’ and ‘e’ from the ISOLET dataset provided by the UCI machine learning ...617-dimension data that we further reduce to keep the 10 leading ... Voir le document complet

... synchrophasor data analytics that leverage event-triggered control and protection applications for smart ...that, advanced control and communication technolo- gies along with renewable energy sources ... Voir le document complet

... This process involves any operation which tries to qualify or quantify uncertainty, thus generating infor- mation about ...to data, to describe their thoughts, doubts and their own or collaborative informal ... Voir le document complet

... of process instance discovery, and eventually pro- cess ...and process instances that are formed with combination of correlation conditions or chains for them are not ...business process event ... Voir le document complet

... Evaluation: We compared our implementation of hardware- accelerated string search running on BlueDBM to the Linux Grep utility querying for exact string matches running on both SSD and hard disk. Processing bandwidth and ... Voir le document complet

... in order to collect this block data. Given our dependence on HTTP requests and the browser, the tool needed to use the web browser for extracting and transforming the data. Our tool’s performance can be ... Voir le document complet

... inventory data at the supply chain nodes, but the data is not integrated due to system ...‘big data’ is a current problem multiple supply chains are facing as they look towards future data ... Voir le document complet

... • The second part covers the main body of the thesis which includes our main contributions. It is divided in four chapters. The order of the chapters does not necessarily follow the chronology of the research thesis ... Voir le document complet

... Abstract—Real-time analytics are becoming in- creasingly important due to the large amount of data that is being created ...source data mining and machine learning library, designed on top of Spark ... Voir le document complet

... LODStats [3] is inspired by approaches for querying RDF streams [5,8]. It parallelizes streaming and sorting techniques to efficiently process RDF data. More recent methods either use HDFS (LODOP [14]) or ... Voir le document complet

... to process streaming data 1 ...reads data from external data sources and emits them into the ...actual data process- ...how data streams are passed around between ... Voir le document complet

... big data and predictive analytics (BDPA)? According to McKinsey and Company, big data and predictive analytics (BDPA) would be an opportunity to knuckle down some challenges that industry is ... Voir le document complet