Αποτελέσματα Αναζήτησης
1 Ιουν 2024 · In this study, we extracted papers encompassing the realm of business economics spanning from January 1, 1900, to July 31, 2021, employing the topic search criteria “big data” forecast∗ or “big data” predict∗ within the “Web of Science Core Collection” database.
1 Ιουλ 2014 · We then analyse the broader current and potential contributions of Big Data to economics, such as the ways in which econometric methodology is being used to shed light on questions beyond economics, how Big Data is improving or changing economic models, and the kinds of collaborations arising around Big Data between economists and other ...
17 Ιουν 2024 · Big Data Predictive Analytics (BDPA) defines frameworks and systems that gather, analyze, and give an interpretation of great variety, volume, velocity, veracity, and value data to show patterns, trends, and relationships within data to find challenges and opportunities, to foresee future happenings, and direct decision making in contexts of ...
10 Απρ 2015 · The review finds that at present, the fields of Economics, Energy and Population Dynamics have been the major exploiters of Big Data forecasting whilst Factor models, Bayesian models and Neural Networks are the most common tools adopted for forecasting with Big Data.
7 Νοε 2014 · These markets—run by companies such as Google, Yahoo!, Facebook, and Microsoft—combine big data predictive models with sophisticated economic market mechanisms. The predictive models are used to assess the likelihood that a given user will click on a given ad.
27 Ιουν 2024 · Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.
31 Ιουλ 2018 · One of the objectives in this field is the assessment of whether big data leads to improvement in forecast accuracy. In this survey paper, we discuss some of the latest (and most interesting) methods currently available for analyzing and utilizing big data when the objective is improved prediction.
