Twitter tweets of 11843 people were collected and data mining was conducted to understand the real sentiment of the people of India during the demonetisation period using naive Bayes classifier algorithm. T test and F test were conducted to determine the sentiment of the people using hypothesis. ...
The core problem of multi-agent distributed data mining technology not concern particular data mining techniques although the latter is now paid the most attention. Its core problem concerns collaborative work of distributed software in design of multi-agent system destined for distributed data mining ...
(2010). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature, Decision Support System (2010), doi:10.1016/j.dss.2010.08.006.E. Ngai, et al., The application of data mining techniques in financial fraud detection:...
A decision support system to aid in the integration of the feature extraction and classification processes is proposed. The goals and requirements set for the decision support system and its basic structure are defined. The means of knowledge acquisition needed to build up the proposed system are ...
In this paper, we present a topic discovery system aimed to reveal the implicit knowledge present in news streams. This knowledge is expressed as a hierarc... Aurora,Pons-Porrata,and,... - 《Information Processing & Management》 被引量: 165发表: 2007年 Survey of Text Mining: Bk. 2: Clus...
Classification is one tasks of data mining, using particle swarm optimization in classification especially classification rule extraction. 分类是数据挖掘研究的主要内容之一,将微粒群算法应用于分类问题,进行分类规则的提取。 lib.cqvip.com 2. The precision of classification rule is decided by the construction...
Chen T, Guestrin C. XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining. 2016. p. 785–94. Dua D, Graff C. UCI machine learning repository. University of California, Irvine; 2017.http://archive.ics...
to D&B, we then use Weka (Witten & Frank, 2005), a data mining platform that provides a portfolio of classification algorithms. We show that it is possible to classify POIs to the widely used NAICS system with several different machine learning algorithms using only the categories or tags ...
(2003). This is a two-level hierarchic classification system of fields and subfields of the sciences, social sciences and arts and humanities. The process of application of this system and results obtained can be found in the article.Thijs and Glanzela (2009)believed that the clustering of ...
Section 1 provides an overview of malware classification and Federated learning. In Section 2, we introduce the system model and describe corresponding limitations. In Section 3, we introduce the proposed adaptive FL-based android malware classification method. In Section 4, we describe our ...