Titlebook: Intelligent Information and Database Systems; 12th Asian Conferenc Paweł Sitek,Marcin Pietranik,Chutimet Srinilta Conference proceedings 20

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Orchiectomy

Music Classification by Automated Relevance Feedbacks automatic music recognition system to help developers effectively tag music with genres. First, we extract Mel-Frequency Cepstral Coefficients (MFCCs) as the basic features. We then transform MFCCs into a set of conceptual features by Support Vector Machine (SVM). By the conceptual features, a auto

阉割

Neutropenia

deriver

Data Collection for Natural Language Processing Systemsly, it is not a problem to find and get a set of correct data because the correct texts are available from different sources, although they may also contain some mistakes. On the other hand, it is a hard task to get data containing errors like typos, mistakes and misspellings. This kind of data is u

Herpetologist

: A Blockchain-Driven Approach to Big Data Watermarkingdopt data monetization as their key role in the data marketplace. As a pitfall, such data-driven scenarios make big data prone to various threats, such as ownership claiming, illegal reselling, tampering, etc. Unfortunately, existing watermarking solutions are ill-suited to big data due to a number

银版照相

nonplus

Design and Implementation of Business Intelligence Dashboard for Project Control at the Port Harbor-t often occur in IT Consulting are related to the project cost, resource management and control of each project. Problems that occur at the Port Harbor Company are poor resource management, spending costs that exceed a predetermined budget and how to see the status of ongoing projects. Using Busines

travail

Association Rules Extraction Method for Semantic Query Processing Over Medical Big Data complex semantic relationships among these data. However, traditional data mining algorithms may directly remove some professional terms as interference words, because professional medical terms account for a small proportion of online medical data. Therefore, we proposed TRSC algorithm to extract

稀释前

Popular Disease Topics Mining Method for Online Medical Community research areas. In this paper, we proposed a medical text-based processing method (TLC algorithm), which can enhance feature semantic associations without losing useful information, and effectively discovery the potential value knowledge in medical texts. It can adaptively classify the topics of di