Titlebook: Decision Support Systems V – Big Data Analytics for Decision Making; First International Boris Deliba?i?,Jorge E. Hernández,Isabelle Linde

NEX

愛得痛了

Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts,i resort is 10–15?% less accurate than data mining models. We also show that expert models refined with data-driven analysis can produce models that are in line with accuracy as data mining models, but in addition show some advantages, like transparency, consistency and completeness.

BAIT

思考才皺眉

反復(fù)無常

978-3-319-18532-3Springer International Publishing Switzerland 2015

absolve

龍卷風(fēng)

Lecture Notes in Business Information Processinghttp://image.papertrans.cn/d/image/264281.jpg

scotoma

El?bieta M. Go?dziak,Izabella Mainata velocity and data variety continue to increase. Data-driven decision making using these new data streams, often call “big” data, is an important topic for continuing discussion and research. Given the costs of this data it is important to understand “big” data and any decision making use cases.

angiography

: A defence of Citizenship by Descentes’ day-to-day functioning, where decisions must be made and aligned with the companies’ strategy. The technical elements include the toolset used to aid the decision making process such as information systems, data repositories, formal modeling, and analysis of decisions. This work highlights a sub

彎彎曲曲

The Price of Selling Citizenshipes among 3/4PL (third /fourth party logistics) in order to establish interoperable or highly integrated and sustainable logistics supply chain services. However, big data applications could have limited capabilities of providing performant logistics services without addressing the quality and accura