Data mining is the process of extracting useful information and knowledge from mass data. Through statistics, machine learning, pattern recognition and other technologies, data is analyzed and processed to discover potential patterns and laws. This paper provides an indepth overview of the basic concepts and main technologies of data mining, including data association, data classification, and clustering. The application of data mining in the fields of Internet, finance, medical treatment and en...

Big Data Search and Mining 

This study takes Mount Tai Scenic Area as a case study to explore how big data technology can enhance the emergency rescue capability of scenic areas. This paper analyzes the methods and means of using big data technology to improve the emergency rescue capability of scenic spots and the shortcomings in the development and design of emergency rescue system. The research findings indicate that big data technology holds significant potential for application in emergency rescue operations in scenic...

Big Data Search and Mining 

The purpose of this research was to investigate the application of Facebook and Twitter social media handles as communication channels by Universi-ty Libraries in Kenya. The objectives of the research were to examine the application of Facebook and Twitter as communication channels and their usage trends within academic libraries and to develop a strategy for the application of social media by university libraries. This research has high-lighted how Social Media handles, specifically Facebook an...

Big Data Search and Mining  Information Management  Online social network computing 

Machine learning systems have found extensive applications as auxiliary tools in domains that necessitate critical decision-making, such as healthcare and criminal justice. The interpretability of these systems’ decisions is of paramount importance to instill trust among users. Recently, there have been developments in globally-consistent rule-based summary-explanation and its max-support (MSGC) problem, enabling the provision of explanations for specific decisions along with pertinent dataset s...

Artificial Intelligence  Big Data Search and Mining  Complex network models 

Crime is a serious social problem, which affects the improvement of the quality of life and the development of social economy. Under the background of the information age, how to effectively use the collected large amount of crime data to analyze and predict crime is particularly important. Data-mining can extract implicit, unknown and potentially valuable information from a large number of original data. This paper studies how to use data-mining to analyze the intelligence value behind massive ...

Artificial Intelligence  Big Data Search and Mining  Criminology 

Species invasion will cause certain harm to the local ecosystem. Vespa mandarinia, discovered on Vancouver Island, is harmful to agriculture and predators of European honeybees. The government tried to use a crowdsourcing system to collect information and formulate policies to eliminate Vespa mandarinia. However, the information provided by the local population about Vespa mandarinia is not entirely accurate. For this problem, we build a method to mine trusted informat...

Big Data Search and Mining  Information Management  Bioinformatics 

With the development of science and technology, the informatization construction of colleges and universities has stepped into the era of big data, and the informatization construction of colleges and universities has changed from digital campus to smart campus. This paper first summarizes the research status from the concept and evolution of the smart campus, the meaning and application of big data and data mining, the characteristics and architecture of the construction of the smart campus, an...

Educational Psychology  Big Data Search and Mining 

As traffic congestion has become a common problem plaguing Chinese cities, a strong coverage of taxi stops with reasonable number distribution can not only improve the operating efficiency of taxis, but also make rational use of taxi resources. It can also provide a good waiting experience for passengers, which has important practical significance. Based on the big data of taxi travel trajectory, this paper takes a typical working day in Nanjing as an example, and analyzes the peak travel time b...

Big Data Search and Mining 

This paper explores how to prepare data for analyzing the Chinese texts with R language based on the theory of Welbers, particularly comparing the R package Rwordseg with jiebaR to see the results of Chinese text segmentation at the step of preprocessing.

Big Data Search and Mining  Complex network models 

The purpose of this paper is to produce reasonably accurate direct estimators, not only for the characteristics of whole Population but also for a variety of Subpopulations or domains. Many policymakers and researchers also want to obtain statistics for small domains. These small domains are also called small areas, because the sample size in the area or domain from the Survey is small. Due to small sample size, domain-specific direct estimators provide an acceptably large coefficient of variati...

Big Data Search and Mining  Applications of Communication Systems