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Business Data Collection: Toward Electronic Data Interchange. Experiences in Portugal, Canada, Sweden, and the Netherlands with EDI

Gert Buiten, Ger Snijkers, Paulo Saraiva, Johan Erikson, Anna-Greta Erikson, Alice Born
2018 Journal of Official Statistics  
This joint work is a summary of an invited session at the Fifth International Conference on Establishment Surveys, which was devoted to 'the future of business data collection'.  ...  This article discusses the experience and the ideas of National Statistical Institutes from four countries – Portugal, Sweden, Canada, and the Netherlands – in order to build a fully automated data collection  ...  Statistics Netherlands is one of the government agencies involved in the Dutch SBR-community that aims at further standardising and harmonising the exchange of business data.  ... 
doi:10.2478/jos-2018-0019 fatcat:icxyf3ief5abbdmi7tlsuef2yq

Person-Name Parsing for Linking User Web Profiles

G. Sujatha Das, Xiang Li, Ang Sun, Hakan Kardes, Xin Wang
2010 Proceedings of the 18th International Workshop on Web and Databases - WebDB'15  
In this paper, we propose several types of features based on token statistics, surface-patterns, and specialized dictionaries and apply them within a sequence modeling framework to learn a fullname parser  ...  the growth of learning parameters as a function of the training data size.  ...  Our contributions in this paper are listed below: • We design various features based on name-token statistics, field-specific dictionaries, and surface-forms for learning a fullname parser. • We study  ... 
doi:10.1145/2767109.2767117 dblp:conf/webdb/DasLSKW15 fatcat:pdv6vzd54fbhjascy6yqxxzlj4

The integration of business intelligence and knowledge management

W. F. Cody, J. T. Kreulen, V. Krishna, W. S. Spangler
2002 IBM Systems Journal  
*Trademark or registered trademark of International Business Machines Corporation. Cited references  ...  for their contributions to eClassifier, Sapient, and the underlying ideas of BIKM.  ...  The current focus on information integration in many enterprises is rapidly diminishing the first inhibitor, and advances in machine learning, information retrieval, and statistical natural language processing  ... 
doi:10.1147/sj.414.0697 fatcat:gfxmaedhsngdpfqc7ti2nnr6g4

Application of Text Mining Method for Classification of Work Order in Power Grid Production [chapter]

Yadi Zhao, Zhifeng Wei, Bingqiang Gao, Shuo Zhang
2021 Frontiers in Artificial Intelligence and Applications  
This paper uses power system data to provide reliable data support for equipment defect full cycle management and equipment state analysis through ANOVA and neural network statistical analysis.  ...  This paper aims to explore the potential value of massive data, show the laws of business data, and further give full play to the comprehensive support of data for enterprise operation and production management  ...  It is widely used in big data, machine learning, economics and other fields.  ... 
doi:10.3233/faia210463 fatcat:yob7upowkvbateirx3miy4cjfq

Model Learning from Published Aggregated Data [chapter]

Janusz Wojtusiak, Ancha Baranova
2011 Studies in Computational Intelligence  
Consequently, it prevents the use of the traditional machine learning methods for model construction.  ...  This limitation is a result of many factors, including privacy laws that prevent clinicians and scientists from freely sharing individual patient data, inability to share proprietary business data, and  ...  Medical and healthcare studies require models to be understood easily by people not trained in machine learning, statistics, and other advanced data analysis methods.  ... 
doi:10.1007/978-3-642-22913-8_17 fatcat:ft2uzxnhqvfklelfupowgwbppe

A Review on Multi-Lingual Sentiment Analysis by Machine Learning Methods

Santwana Sagnika, School of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India, Anshuman Pattanaik, Bhabani Shankar Prasad Mishra, Saroj K. Meher
2020 Journal of Engineering Science and Technology Review  
Sentiment analysis can be useful for businesses, data analysts and data scientists, as well as customers.  ...  This paper attempts to provide a detailed study on the sentiment analysis methods applied on languages other than English. The tools used, pros and cons, and efficiency of all methods is covered.  ...  Konate and Ruiying [68] developed six deep learning architectures based on CNN and LSTM to work on Bambara-French social media text by using dictionaries of character and word indexes, which outperformed  ... 
doi:10.25103/jestr.132.19 fatcat:aqvglobonjbh3inz3oewnvtdsu

A Review of Insider Threat Detection Approaches with IoT Perspective

Aram Kim, Junhyoung Oh, Jinho Ryu, Kyungho Lee
2020 IEEE Access  
We then examine data sources considering IoT environments based on the characteristics and the structure of IoT (perceptual, network, and application layers).  ...  The result of reviewing the study shows that using the data source of the network and application layer is more suitable than the perceptual layer in the IoT environment.  ...  ACKNOWLEDGMENT This article was presented in part at the MobiSec 2019 (The 4th International Symposium on Mobile Internet Security).  ... 
doi:10.1109/access.2020.2990195 fatcat:uxydn6lk4vdi5mtqaotp35s3oq

Edison Data Science Framework: Part 2. Data Science Body Of Knowledge (Ds-Bok) Release 1

Yuri Demchenko, Adam Belloum, Andrea Manieri, Tomasz Wiktorski
2016 Zenodo  
The release 1 document presents first working version of the Data Science Body of Knowledge (DS-BoK) definition that is linked to and based on the Data Science Competence Framework (CF-DS) described in  ...  The presented DS-BoK definition is based on overview and analysis of existing bodies of knowledge that are relevant to intended frameworks for Data Science and required to fulfill identified in CF-DS competences  ...  and reasoning Search methodologies Machine learning Learning paradigms Supervised learning Unsupervised learning Reinforcement learning Multi-task learning Machine learning approaches Machine  ... 
doi:10.5281/zenodo.167591 fatcat:ndbj2ezsifbxzekaltyp7wt3na

Towards the 5th Industrial Revolution: A literature review and a framework for Process Optimization Based on Big Data Analytics and Semantics

Dimitris Mourtzis
2021 Journal of Machine Engineering  
Consequently, albeit engineers currently can monitor the factory level, optimization is cut off of the data acquisition, and is based on data related methodologies.  ...  The focus should be pivoted on designing and developing suitable frameworks for integrating Big Data to process optimization based on the context of information gathered from the shopfloor.  ...  AUTOMATED PREDICTIVE BIG DATA ANALYTICS USING ONTOLOGY BASED SEMANTICS Predictive big data analytics is based on decades of statistical and machine learning advancements.  ... 
doi:10.36897/jme/141834 fatcat:tsp4zeziebg5hcxwguwx6dgsgi

Big data analytics in smart grids: a review

Yang Zhang, Tao Huang, Ettore Francesco Bompard
2018 Energy Informatics  
This paper introduces the big data analytics and corresponding applications in smart grids.  ...  Basic concepts and the procedures of the typical data analytics for general problems are also discussed.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Received: 27 January 2018 Accepted: 11 June 2018  ... 
doi:10.1186/s42162-018-0007-5 fatcat:j3hrytmzzfbmjnqh5msybplhc4

Data Integration for Heterogenous Datasets

James Hendler
2014 Big Data  
The U.S. government is authorized to reproduce and distribute reprints for government purposes notwithstanding any copyright notation hereon.  ...  Details of the technologies and approaches used can be found in Ding et al. 17 These and a number of other demos of the principles described in this article can be found at as  ...  The language tools use a number of machine-learning techniques to disambiguate the terms.  ... 
doi:10.1089/big.2014.0068 pmid:25553272 pmcid:PMC4276119 fatcat:pzyz76crpnhtrdsrukw4ji3wqe

Using Big Data in the Academic Environment

Banica Logica, Radulescu Magdalena
2015 Procedia Economics and Finance  
We focused our research on exploring unstructured data using the graphical Gephi tool.  ...  The paper discusses aspects regarding the evolution of Big Data technologies, the way of applying them to e-Learning and their influence on the academic environment.  ...  Instead the rigid structure of SQL, based on tables of rows and columns, a flexible graph model with edges and nodes is used, scanning across multiple machines.  ... 
doi:10.1016/s2212-5671(15)01712-8 fatcat:4bgdnzdcgndkpdpldowseaulsy

Relevance of Data Mining in Digital Library

R. N. Mishra, Aishwarya Mishra
2013 International Journal of Future Computer and Communication  
the Libraries and Information Centers to focus on the most important information in their data warehouses.  ...  Data mining involves significant process of identifying the extraction of hidden predictive information from vast array of databases and it is an authoritative new technology with potentiality to facilitate  ...  In the present ICT era market is flooded with multiple types of analytical softwares which can be utilized for data analysis, statistical inferences, machine learning and neural networks.  ... 
doi:10.7763/ijfcc.2013.v2.110 fatcat:tn27hmczgvectbn6hgm53mov4q

A Survey on Services Provision and Distribution of Official and Commercial Intellectual Property Platforms

Yang Wang, Haijin Gui, Lei Ma
2020 Security and Communication Networks  
, as well as 12 intellectual property analysis tools commonly used online.  ...  Management of Intellectual Property Rights (IPR) plays an increasingly important role on knowledge design and engineering, innovation and patent management, intangible assets audition, R&D, and so forth  ...  Its data sources include patents of more than 90 countries and regions, more than 80 million global patent data, business data, US patent litigation, and US business standard data, which provide support  ... 
doi:10.1155/2020/8833416 fatcat:cxr4hlq5oravxgkpun4rlwlicm

Combining machine-based and econometrics methods for policy analytics insights

Robert J. Kauffman, Kwansoo Kim, Sang-Yong Tom Lee, Ai-Phuong Hoang, Jing Ren
2017 Electronic Commerce Research and Applications  
The approach discussed is fusion analytics, which combines machine-based methods from Computer Science (CS) and explanatory empiricism involving advanced Econometrics and Statistics.  ...  purchases of video-on-demand (VoD) services.  ...  Readers should recognize that nondisclosure agreements prevent us from sharing the organization identities and names of key informants, as well as details of the data and the findings that our sponsors  ... 
doi:10.1016/j.elerap.2017.04.004 fatcat:g6onq7o2yjfpxi5lzofqjhfylm
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