Cognitive system of unstructured data
نویسندگان
چکیده
منابع مشابه
Nonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data
The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...
متن کاملIntricacies of Unstructured Data
This research paper is an attempt to explore unstructured data that has taken the world of data science by storm. Handling the unprecedented growth of unstructured data is a big challenge faced by most data scientists. This paper discusses about the types and sources of unstructured data and effective ways of processing and analysing this data.
متن کاملIntegrating structured and unstructured data in a business-intelligence-system
The recent liberalization of the German energy market has forced the energy industry to develop and install new information systems to support agents on the energy trading floors in their analytical tasks. Besides classical approaches of building a data warehouse giving insight into the time series to understand market and pricing mechanisms, it is crucial to provide a variety of external data ...
متن کاملWeave: an Automated System for Collating Unstructured Data
Gleaning consistent and complete data from multiple sources of unstructured information is often a difficult and time consuming process. In this paper we outline the WEAVE® system which automates the structuring and collating of unstructured data from multiple on-line Websites. WEAVE® is presented in the context of the maintenance, repair, and operations supply chain. The underlying knowledge r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ScienceRise
سال: 2015
ISSN: 2313-8416,2313-6286
DOI: 10.15587/2313-8416.2015.39346