Sentiment analysis acquired a great area of attention in the microblogging websites and
analysis of sentiment is a practice of categorization and identification of opinions that are …

Emerging sensor networks, more capable instruments, and ever increasing simulation
scales are generating data at a rate that exceeds our ability to effectively manage, curate …

Some events, such as terrorism attacks, earthquakes, and other events that represent tipping
points, remain engraved in our memories. Today, through social media, researchers attempt …

Bigdata software platform technology using Hadoop Ecosystem is the essential element and
also underlying technology for application software or service implementation of bigdata …

As scientific and engineering domains attempt to effectively analyze the deluge of data from
sensors and instruments, machine learning is becoming a key data mining tool to build …

In general, multidimensional data (mobile application for example) contain a large number
of unnecessary information. Web app users find it difficult to get the information needed …

Cloud computing has permeated into the information technology industry in the last few
years, and it is emerging nowadays in scientific environments. Science user communities …

This paper provides valuable clues for trend analysis in text mining that one can have texts
attached with timestamps as tags and then observe the frequency distribution of the patterns …

Hadoop's popularity as a distributed computing platform continues to grow as more and
more data is generated each year. As a fault-tolerant and horizontally scalable ecosystem, it …

Presented paper focuses on the area of analysis and classification of textual documents. We
present the classification of documents based on boosting method applied on the decision …