a questionaiere on mining

A Survey on Opinion Reason Mining and Interpreting Sentiment Variations Abstract: Tracking social media sentiment on a desired target is certainly an important query for many decision-makers in fields like services, politics, entertainment, manufacturing, etc. As a result, there has been a lot of focus on Sentiment Analysis.

This survey explores the techniques that establish the foundations for argument mining, provides a review of recent advances in argument mining techniques, and discusses the challenges faced in automatically extracting a deeper understanding of reasoning expressed in language in general. 1. Introduction.

a survey on text mining in social networks rizwana irfan1, christine k. king1, daniel grages1, sam ewen1, samee u. khan1, sajjad a. madani2, joanna kolodziej3,lizhewang4, dan chen5, ammar rayes6, nikolaos tziritas4, cheng-zhong xu4, albert y. …

Process mining for ubiquitous mobile systems: An overview and a concrete algorithm. Proceedings of the 2nd CAiSE Conference on Ubiquitous Mobile Information and Collaboration Systems. Vol. 3272, 151–165. Google Scholar; Gregory Ditzler, Manuel Roveri, Cesare Alippi, and Robi Polikar. 2015. Learning in nonstationary environments: A survey.

Sequential pattern mining is a very important mining technique with broad applications. It found very useful in various domain like natural disaster, sales record analysis, marketing strategy, shopping sequences, medical treatment and DNA sequences etc. It discovers the subsequence's and frequent relevant pattern from the given sequences.

In this survey, we reviewed the 80 important studies on predicting students' performance using EDM methods in 2016–2021, synthesized the procedure of building prediction model of students' performance which contains four phases and 10 key steps, and compared and discussed the latest EDM methods used in all steps. ... Data mining methods ...

Data mining is the process of analyzing a massive amount of data to identify meaningful patterns and detect relations, which can lead to future trend prediction and appropriate decision making. Data mining applications are significant in marketing, banking, medicine, etc. In this paper, we present an overview of data mining applications in medicine to provide a clear …

With the prevalence of social media and online forum, opinion mining, aiming at analyzing and discovering the latent opinion in user-generated reviews on the Internet, has become a hot research topic. This survey focuses on two important subtasks in this field, stance detection and product aspect mining, both of which can be formalized as the problem of the …

A Survey On Data Mining Techniques In Customer Churn Analysis For Telecom Industry A. Almana, M. Aksoy, Rasheed AlZahrani Published 2014 Customer churn prediction in Telecom Industry is a core research topic in recent years. A huge amount of data is generated in Telecom Industry every minute.

Abstract: With the prevalence of social media and online forum, opinion mining, aiming at analyzing and discovering the latent opinion in user-generated reviews on the Internet, has become a hot research topic. This survey focuses on two important subtasks in this field, stance detection and product aspect mining, both of which can be formalized as the problem …

emph{Uncertain Graph} (also known as emph{Probabilistic Graph}) is a generic model to represent many realmbox{-}world networks from social to biological. In recent times analysis and mining of uncertain graphs have drawn significant attention from the researchers of the data management community. Several noble problems have been introduced and efficient …

A survey on data mining classification algorithms. Abstract: Data mining refers to extracting or mining knowledge from large amount of data. It is also defined as finding hidden information from a database. It is a technique which is used primarily for discovering unknown patterns and that converts raw data into user understandable information.

Data mining is a process to extract unknown, hidden, and potentially useful information from data. But the problem of data island makes it arduous for people to collect and analyze scattered data, and there is also a privacy security issue when mining data.

Bitcoin is a peer-to-peer digital decentralized cryptocurrency created by an individual under pseudonym Satoshi Nakamoto. In fact, it is the first digital decentralized currency. The importance of digital cryptocurrency and the concept of blockchain have been explored by several developers and organizations. It is assumed to be one of the secure and easy payment …

Educational process mining (EPM) is an emerging field in educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the educational process. EPM uses log data gathered …