Showing 1-25 of 150,755 resultsfor "Index Terms":Characteristics Of Data
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Multi-source heterogeneous data fusion
2018 International Conference on Artificial Intelligence and Big Data (ICAIBD)
Year: 2018 | Conference Paper |
Cited by: Papers (67)
As the exponential growth of data in internet era, there comes the big data era. Big data fusion creates huge values that makes it a research hotspot. However, in big data era, data shows characters of large volume, velocity, veracity and especially variety which is also called heterogeneity. Multiple different sources of data lead to data heterogeneity. Multi-source heterogeneous data brings oppo...Show More
A Novel Rigorous Measurement Model for Big Data Quality Characteristics
2022 IEEE International Conference on Big Data (Big Data)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Satisfiable data quality is the basic guarantee for data-based research, decision-making, and service. Today, new trends in the creation, collection, and utilization of data are constantly emerging. With the usage of massive data, the problem of data quality is highlighted. Several studies on the measurement, evaluation, and management of big data quality have been proposed, and the data quality p...Show More
Big Data Impacts and Challenges: A Review
2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
Year: 2019 | Conference Paper |
Cited by: Papers (28)
Data is everywhere, organizations, governments, clicks, web server, business partner, and even our body. Big Data comes to life with insights to improve the technology fashion and lifestyle with calling for readiness to change. Big Data has become a significant factor that could be a material asset for both business and government organizations. As such, it is important to understand the definitio...Show More
A missing power data filling method based on improved random forest algorithm
Missing data filling is a key step in power big data preprocessing, which helps to improve the quality and the utilization of electric power data. Due to the limitations of the traditional methods of filling missing data, an improved random forest filling algorithm is proposed. As a result of the horizontal and vertical directions of the electric power data are based on the characteristics of time...Show More
Application of Master Data Classification Model in Enterprises
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Master data construction is at the core of the enterprise information strategy, and it is the collection place of data to ensure the consistency and uniqueness of the target system data. In this paper, the identification indicators are determined from the characteristics of master data. The indicator weight is based on the business importance, so as to construct the master data identification scor...Show More
Toward a Novel Measurement Framework for Big Data (MEGA)
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Big Data is quickly becoming a chief part of the decision-making process in both industry and academia. As more and more institutions begin relying on Big Data to make strategic decisions, the quality of the underlying data comes into question. The quality of Big Data isn’t always transparent and large-scale systems may even lack its visibility, which adversely affects the credibility of the Big D...Show More
A study of big data characteristics
2016 International Conference on Communication and Electronics Systems (ICCES)
Year: 2016 | Conference Paper |
Cited by: Papers (19)
Bit by bit analysis and research on big data has become a hot cake for many organisations and can be more helpful for the industries like banking, e-commerce, insurance, manufacturing etc. to facilitate their customers. Traditionally, when the data was low in volume, it was easily managed and processed by traditional technologies. These technologies are incapable of handling it as big data differs...Show More
Data structuring and effective retrieval in the mining of web sequential characteristic
Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology
Year: 2011 | Conference Paper |
Cited by: Papers (2)
The Web data mining based on sequential characteristics is a mining technology focusing on text data on Web pages and link structure and combing sequential characteristics on the basis of the mining of Web structure and Web contents. A huge number of data information is carried on Web, and it is increased at a geometric speed every day. As time goes by, the effectiveness of a great number of data ...Show More
Big Data Quality Assessment Model for Unstructured Data
2018 International Conference on Innovations in Information Technology (IIT)
Year: 2018 | Conference Paper |
Cited by: Papers (27)
Big Data has gained an enormous momentum the past few years because of the tremendous volume of generated and processed Data from diverse application domains. Nowadays, it is estimated that 80% of all the generated data is unstructured. Evaluating the quality of Big data has been identified to be essential to guarantee data quality dimensions including for example completeness, and accuracy. Curre...Show More
Design and application of real estate market monitoring platform based on spatio-temporal big data
2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
When the traditional visualization application platform visually analyzes large-scale real estate spatio-temporal data, there are problems such as slow loading and poor functional scalability. In order to solve these problems, this paper proposes a design scheme of a visual analysis platform for real estate market monitoring. First, carry out conceptual analysis and feature induction of spatio-tem...Show More
The model of students’ portraits based on data processing
Xin Zhao;YaHui Wu;HaiShan Chen;LiangQiang Cao;JinBo Liu;XiaoNan Wang
2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM)
Year: 2022 | Conference Paper |
With the high development of information technology, the importance of personalized learning is becoming more and more prominent. However, compared with the focus on big data, the focus on small data is not enough. To establish a more personalized and targeted student portrait model, this paper is referring to the relevant definitions of data granularity, this paper establishes the concept of char...Show More
Fast Computation of Persistent Homology with Data Reduction and Data Partitioning
2019 IEEE International Conference on Big Data (Big Data)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
Persistent homology is a method of data analysis that is based in the mathematical field of topology. Unfortunately, the run-time and memory complexities associated with computing persistent homology inhibit general use for the analysis of big data. For example, the best tools currently available to compute persistent homology can process only a few thousand data points in ℝ3. Several studies have...Show More
Research and Simulation of Large Data Differentiation Classification Technology under the Internet of Things
2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Differential classification of large data in the environment of Internet of things can improve the clustering ability of large data, a large data dissimilation classification method is proposed based on fuzzy C mean clustering and piecewise fusion scheduling. The large data set under the Internet of things is divided into several subsets by using the method of grid region segmentation, feature mat...Show More
Big Data: Current Challenges and Future Scope
Ardavan Ashabi;Shamsul Bin Sahibuddin;Mehdi Salkhordeh Haghighi
2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
Year: 2020 | Conference Paper |
Cited by: Papers (17)
Big Data encompasses huge amounts of raw material which influence multitude of research fields as well as different industries performance such as business, marketing, social network analysis, educational systems, healthcare, IoT, meteorology, fraud detection. It aimed to uncover hidden trends and has prompted a development from a model-driven perspective to a data-driven approach. Among numerous ...Show More
Big Data Value Chain: A Unified Approach for Integrated Data Quality and Security
Abou Zakaria Faroukhi;Imane El Alaoui;Youssef Gahi;Aouatif Amine
2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Big Data has grown significantly in recent years. This growth has led organizations to adopt Big Data Value Chains (BDVC) as the appropriate framework for unlocking the value to make suitable decisions. Despite its promising opportunities, Big Data raises new concerns such as data quality and security that could radically impact the effectiveness of the BDVC. These two essential aspects have becom...Show More
A literature review on the key technologies of processing big data
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Firstly, this paper starts with the changes of the current social sectors in the Big Data era, and outlined the concept of Big Data. This paper focuses on the processing technology and processing tools about Big Data, mainly elaborate from four aspects, including the data preprocessing, data storage and management, data analysis and privacy protection. Finally, on the basis of the previous analysi...Show More
A Big Data Perspective of Individual Privacy Protection Approaches
2021 6th International Conference on Computing, Communication and Security (ICCCS)
Year: 2021 | Conference Paper |
The evolution of social media has made big data more and more accessible to the public along with the availability of diverse datasets which may lead to the rise of privacy concerns. These datasets may contain Personally Identifiable Information which is meant for a specific purpose can lead to the violation of the user's privacy if misused. The existing data protection mechanisms don't scale up w...Show More
Data Security of New Power System: Challenges and Countermeasures
2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
Year: 2024 | Conference Paper |
With the rapid development of the new power system, the issue of data security has become increasingly prominent. This article first analyzes the characteristics of data in the new power system, and then explores the major challenges currently faced. Based on this, the article proposes corresponding countermeasures, establishing a risk early warning and defense mechanism for the entire data lifecy...Show More
Today, big data is considered an important area in IT and business fields. Big data is the driving force behind the effective running and competitiveness of several companies and organizations. Based on a research literature survey, there is a lack of standard definition and agreed upon characteristics for big data from scientific and business perspectives. This paper provides a review of big data...Show More
Facing the development of future 5G, the emerging technologies such as Internet of things, big data, cloud computing, and artificial intelligence is enhancing an explosive growth in data traffic. Radical changes in communication theory and implement technologies, the wireless communications and wireless networks have entered a new era. Among them, wireless big data (WBD) has tremendous value, and ...Show More
Full Consideration of Big Data Characteristics in Sentiment Analysis Context
2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Year: 2019 | Conference Paper |
Cited by: Papers (18)
We live in a digital world where every interaction with Internet generates digital traces that reveal a lot of details about our thinking. The volume of these daily-generated traces increases exponentially creating massive loads of information, which represents a big part of a new world called Big Data. This big data is used by different type of projects to extract valuable information either to t...Show More
A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming
Shah Nazir;Sulaiman Khan;Habib Ullah Khan;Shaukat Ali;Iván García-Magariño;Rodziah Binti Atan;Muhammad Nawaz
Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, along with the availability of new computational models in the field of healthcare, has enabled the caretakers and researchers to extract relevant information and visualize the h...Show More
Big Data Mining Algorithm of Internet of Things Based on Artificial Intelligence Technology
2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
According to the low accuracy of big data analysis and clustering of the Internet of Things at present, this paper proposes an AI based big data mining method for the Internet of Things. By establishing the dimension control mechanism, the data pattern tree of the Internet of Things is generated, and the data mining scope is initially obtained. The data that meet the requirements are detected acco...Show More
Big Data Privacy and Challenges for Machine Learning
Puneet Himthani;Ghanshyam Prasad Dubey;Brij Mohan Sharma;Ankur Taneja
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Year: 2020 | Conference Paper |
Cited by: Papers (11)
The field of Big Data is expanding at an alarming rate since its inception in 2012. The excessive use of Social Networking Sites, collection of Data from Sensors for analysis and prediction of future events, improvement in Customer Satisfaction on Online S hopping portals by monitoring their past behavior and providing them information, items and offers of their interest instantaneously, etc had l...Show More
Research on the Model of Command and Decision System for Big Data
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
With the continuous application of high technology in command and operation, the era of big data in military field has come. Traditional data processing can't satisfy the deep analysis of massive heterogeneous data. Cloud computing provides necessary storage, management and computing solutions for big data analysis. Based on the characteristics of big data, using cloud computing and data mining te...Show More
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