Link prediction is an important research direction in the field of Social Network Analysis. The significance of this research area is crucial especially in the fields of network evolution analysis and recommender system in online social networks as well as e-commerce sites. This paper aims at predicting the hidden links that are likely to occur in near future. The possibility of formation of li...

Data anonymization has been extensively studied and widely adopted method for privacy preserving in data publishing and sharing scenario. Data anonymization is hiding up of sensitive data for owner’s data record to avoid unidentified Risk. The privacy of an individual can be effectively preserved while some aggregate information is shared to data user for data analysis and data mining. The prop...

Classification of text documents on online media is a big data problem and requires automation. Text classification accuracy can decrease if there are many ambiguous terms between classes. Hadoop Map Reduce parallel processing framework for that has been widely used data. The study presented using genetic programming by pre-processing map-reduce collecting web scraping. Genetic to perform assoc...

Classification of text documents on online media is a big data problem and requires automation. Research has developed classification system with pre-processing using map-reduce web scraping collection. This study aims to evaluate performance by combining genetic programming algorithms, for processing large in the form text. Data collection was carried out observing web-based scraping. collecte...