Internet of Things (IoT) related applications have emerged as an important field for both
engineers and researchers, reflecting the magnitude and impact of data-related problems to …

Static index pruning aims to remove redundant parts of an index to reduce the file size and
query processing time. In this paper, we focus on the impact of index pruning on the topical …

Analyzing textual data is a very challenging task because of the huge volume of data
generated daily. Fundamental issues in text analysis include the lack of structure in …

Music analysis is the main task in the musical information retrieval (MIR) systems. In this
paper an analytical study based on these MIR techniques has been carried out to perform …

In order to make accurate and fast full text searches it is recommended to index the words in
the documents. One way to do this is to use an Inverted Index to maintain, in a structured …

N-gram based indexing technique has been proved as a useful technique for efficient
document retrieval. We applied the n-gram approach and performed experiments in Hindi …

Static Index Pruning is a performance optimization technique for search engines that
attempts to identify and remove index postings that are unlikely to lead to top results for …

Today's research and industry aims at working with large data sets. High scalability and fault
tolerance have been provided by some distributed data analytical solution like Hadoop but …

Information Retrieval is finding documents of unstructured nature which should satisfy user's
information needs. There exist various models for weighting terms of corpus documents and …

Static index pruning techniques remove postings from inverted index structures in order to
decrease index size and query processing cost, while minimizing the resulting loss in result …