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Article | 24-April-2018

Improved Statistical Analysis Method Based on Big Data Technology

Big data technology refers to the rapid acquisition of valuable information from various types of large amounts of data. It can be divided into 8 technologies: data acquisition, data access, infrastructure, data processing, statistical analysis, data mining, model prediction and results presentation. The paper presents improved statistical analysis method based on big data technology. A statistical analysis model in big data environment is designed to extract useful information features from

Hongsheng Xu, Ganglong Fan, Ke Li

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 26–30

Article | 07-May-2018

Research on the Construction of Sports Resources Information Platform Based on Big Data

The rapid development of communication technology such as big data makes the integration and application of sports resource information become the key of sports informatization construction. The construction of sports resources information big data platform is of great significance to the integration of sports resources and the sharing of sports resources. The subject explores the related theory of sports resources, studies the present situation of the application of sports resources

Wang Shuangming, Shi Jianwei, Fu Shiqiu, Xu Wanlin

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 28–32

Article | 10-April-2018

Novel Model of E-commerce Marketing Based on Big Data Analysis and Processing

The amount of information on the Internet is getting larger and larger, and the energy of the consumer and the ability to deal with information is limited. Electricity supplier enterprises in the development process to do are to use big data for personalized shopping guide. This paper analyzes the situation of the development of e-commerce industry in the background of big data, and puts forward the improvement method. The paper presents novel model of e-commerce marketing based on big data

Hongsheng Xu, Ke Li, Ganglong Fan

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 40–44

Article | 30-November-2019

The Research of Tai’an Big Data Ecological Status Based on IPV9

related fields at the same time[1]. The“13th Five-Year Plan for National Population Health Informatization Development Plan” issued by the National Health and Family Planning Commission in January 2017 requires: strengthen the construction of population health informatization and health medical big data service system vigorously, and promote the government health medical information system and Public health and medical data interconnection, open sharing, eliminate information barriers and islands

Gao Yalin, Ma Yihua

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 1–9

Research Article | 01-September-2017

DATA MINING WITH BIG DATA REVOLUTION HYBRID

Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data

R. Elankavi, R. Kalaiprasath, R. Udayakumar

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 560–573

Article | 11-April-2018

The Mining Algorithm of Frequent Itemsets based on Mapreduce and FP-tree

The date mining based on big data was a very important field. In order to improve the mining efficiency, the mining algorithm of frequent itemsets based on mapreduce and FP-tree was proposed, namely, MAFIM algorithm. Firstly, the data were distributed by mapreduce. Secondly, local frequent itemsets were computed by FP-tree. Thirdly, the mining results were combined by the center node. Finally, global frequent itemsets were got by mapreduce and the search strategy. Theoretical analysis and

Bo He, Jianhui Pei, Hongyuan Zhang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 68–71

Article | 02-April-2018

A Disparateness-Aware Scheduling using K-Centroids Clustering and PSO Techniques in Hadoop Cluster

Big data storage management is one of the most challenging issues for Hadoop cluster environments, since large amount of data intensive applications frequently involve a high degree of data access locality. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. Therefore to solve the problems of Disparateness among the jobs and resources a “Disparateness-Aware Scheduling algorithm” is proposed in the

E. Laxmi Lydia, M.Ben Swarup

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 34–46

Article | 11-January-2021

Review of Anomaly Detection Based on Log Analysis

I. INTRODUCTION With the development of the Internet, big data and artificial intelligence have penetrated into people’s lives, unknowingly changing the way people live, food, and transportation, making people’s lives faster, more efficient, and easier. Research in various fields of computer is moving towards bionics, including human-like big data processing, human-like computer vision and image processing, human-like voice input, etc. These studies make the computer in a domain not only

Xudong Wu

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 4, 40–49

Article | 23-April-2018

Design and Implementation of the Comprehensive Information Platform for Smelting Enterprises

Ma Dandan, Bai Jing

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 1–4

Article | 30-November-2018

Research on the System Structure of IPV9 Based on TCP/IP/M

future network root domain name system, promoting technology integration, business integration and data integration, and realizing cross-level, cross-region, cross-system, cross-department and cross-business collaborative management and services. We will build an integrated national big data center and gateway bureau through data centralization and sharing, and build a secure and controllable information technology system. C. Root domain name server IPV9 root DNS server is mainly used to manage the

Jianguo Wang, Zhongsheng Wang, Jianping Xie, Wei Zhong

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 1–13

research-article | 30-November-2019

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review

Big Data (BD) is participating in the current computing revolution immensely. Industries and organizations are utilizing their insights for Business Intelligence using Machine Learning (ML) models. However, BD’s dynamic characteristics introduce many critical issues for ML models, such as the Concept Drift (CD) issue. The issue of CD is observed when the statistical properties of data vary at a different time step. For example, a set of class examples has legitimate class labels at one time

Manzoor Ahmed Hashmani, Syed Muslim Jameel, Mobashar Rehman, Atsushi Inoue

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–16

research-article | 30-November-2019

A review of privacy-preserving human and human activity recognition

As more and more data is collected and the technology to process it develops, the importance of data is growing. In addition, technology is needed for sensitive data processing to protect privacy. All processes that process data, such as raw data, data being processed, and result data, require privacy. The general approaches to prevent privacy leakage adopted anonymity, access control, and transparency (Haris et al., 2014). With the introduction of machine learning (ML), big data processing is

Im Y. Jung

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–13

Research Article | 01-September-2017

DYNAMIC FACE RECOGNITION AND TRACKING SYSTEM USING MACHINE LEARNING IN MATLAB AND BIGDATA

P.J Leo Evenss, Jennings Mcenroe .S, A.Prabhu Chakkaravarthy

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 163–173

Article | 30-November-2018

The Shortcomings of Ipv6 and Upgrade of Ipv4

IPv6 is a solution to the problem of running out of IPv4 addresses. In other words, it is to upgrade the IP address because the original number of IPv4 addresses is not enough to assign to more computers. The first version of IPv6 appeared in 1995, at that time the internet is in its infancy, with the development of Internet of things, big data and cloud storage technologies being gradually applied in the last decade, IPv6 has certain defects in the design of its address structure by the

Tao Wang, Jiaqiong Gao

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 1, 1–9

Article | 30-November-2018

Research and Improvement of Apriori Algorithm Based on Hadoop

I. INTRODUCTION In the context of the development of big data “spraying wells”, there is frequently a close relationship between vast amounts of data[1]. Analysis and decision making through data mining have become the mainstream of social development. In order to better find the relevance of transaction data sets, some researchers have discovered the concept of association rule mining technology[2]. With the attention of many researchers at home and abroad caused by the conception of the

Gao Pengfei, Wang Jianguo, Liu Pengcheng

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 3, 100–105

Article | 01-June-2016

STUDY ON THE DISCRETE TIME MULTICHANNEL THREE-DIMENSIONAL PROBABILITY CSMA PROTOCOL IN WSN

With the development of the times, in the wireless sensor networks, the increasing amount of information transmission requires more advanced transmission protocols. Especially accompanied by the arrival of the era of Big Data, the conflicts between traditional transport agreement and the sudden or large amount of data are increasingly prominent. The discrete time three-dimensional probability CSMA protocol with multichannel mechanism proposed solves these problems pretty well. By the new MAC

Yifan Zhao, Shengjie Zhou, Hongwei Ding, Zhijun Yang, Qianlin Liu

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 845–863

Article | 11-April-2018

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the

Wang Tao

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 89–92

Article | 14-October-2020

Interview with the Inventor of the Future Network IPV9

decimal network root domain name server, and unified national prior identification and management. The project of Healthy Tai’an IPV9 big data platform relies on the existing backbone optical cable and user transmission and access network of Tai’an Branch of Shandong Radio and Television Network Co., LTD., and USES IPV9 network technology for upgrading and reconstruction. The network covers medical and health institutions at city, county, township and village levels as well as Tai 'an City financial

Guoshao Chen, Yubian Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 73–79

Article | 30-November-2018

Design and Research of Healthy Ecology System Framework Based on IPV9

I. THE CURRENT STATUS OF HEALTH CARE A. Medical health background A new round of scientific and technological revolution and industrial changes are accelerating. Life science technologies continuously made new breakthroughs, and major technologies such as genetic engineering, molecular diagnostics, stem cell therapy, and 3D printing are accelerating applications. The new generation information biology and engineering technologies such as big data, cloud computing, Internet, artificial and

Qinyu Li, Hongwen Zhao, An Geng, Lei Han

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 14–24

Article | 18-June-2020

PROBLEMS OF ANALYST COMPETENCY FORMATION FOR MODERN TRANSPORT SYSTEMS

into account many different factors, process large amounts of information and solve multi-criteria tasks in transport companies for all management functions. Creation of digital analytical competency for transportation systems represents a new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. This article describes a new

Svetlana LYAPINA, Valentina TАRASOVA, Marina FEDOTOVA

Transport Problems, Volume 15 , ISSUE 2, 71–82

research-article | 30-November-2019

A novel algorithm for estimation of Twitter users location using public available information

Big data analysis is significant and widely used in many real-world applications in different fields. With the increasing volumes of unstructured data and the multiplicity of their sources, such as the internet, social media, and other large data sources, using a single computer processor may not be able to deal with such a large amount of data. By contrast, the need for new technologies that can deal with large and unstructured data is in high demand, such as non-traditional databases NoSQL

Yasser Almadany, Khalid Mohammed Saffer, Ahmed K. Jameil, Saad Albawi

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–10

Article | 14-October-2020

Research on Commodity Mixed Recommendation Algorithm

necessary to adopt a big data model for analysis. Compared with the traditional data model using random analysis (sampling survey), the big data model analyzes all data and has the characteristics of 4V, Namely Large Volume, High Speed, Variety, Value. Collaborative filtering algorithm is one of the most concise and practical recommendation algorithms. If you use traditional data model for sampling survey, it will inevitably aggravate the sparsity problem of the algorithm itself, so it is of great

Hao Chang, Shengquan Yang

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 1–8

Research Communicate | 27-May-2018

SOME RESULTS FROM THE 2013 INTERNATIONAL YEAR OF STATISTICS

Jan Kordos

Statistics in Transition New Series, Volume 19 , ISSUE 1, 149–158

Article | 26-May-2019

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

of the covariance operator describing the signal. We will also propose a new technique based on the bootstrap resampling to choose the optimal dimension inrepresenting big data sets that we process. Using real data generated by a gearbox and a wheel bearings we will show how these techniques work in practice.

Jacek Leśkow, Maria Skupień

Statistics in Transition New Series, Volume 20 , ISSUE 1, 131–151

Article | 30-November-2018

Research and Design of Next Generation Internet (IPV9) Datagram

, big data and cloud storage, IPv6 has some shortcomings in its address structure design, security and network sovereignty. The Chinese researchers developed a new generation Internet (IPV9) datagram by researching the existed IPv4 and IPv6, and it is based on the method of assigning addresses to computers connected to the Internet by full decimal character code. It is a subsequent version with RFC1606, RFC1607, a new generation of network data structure, it is not the updating of IPv4 and IPv6, it

Zhongsheng Wang, Jianping Xie, Zhao Lin, Wei Zhong

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 1, 10–28

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