Big Data Analytics: Methods and Applications by Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao

By Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao

This e-book has a suite of articles written by means of mammoth info specialists to explain a number of the state of the art tools and purposes from their respective components of curiosity, and offers the reader with a close assessment of the sector of massive info Analytics because it is practiced at the present time. The chapters disguise technical facets of key components that generate and use tremendous information resembling administration and finance; drugs and healthcare; genome, cytome and microbiome; graphs and networks; net of items; large facts criteria; bench-marking of structures; and others. as well as diversified purposes, key algorithmic methods reminiscent of graph partitioning, clustering and finite blend modelling of high-dimensional info also are coated. the various selection of subject matters during this quantity introduces the reader to the richness of the rising box of massive info Analytics.

Show description

Read Online or Download Big Data Analytics: Methods and Applications PDF

Best data mining books

Mining of Massive Datasets

The recognition of the net and net trade offers many super huge datasets from which info might be gleaned by means of information mining. This booklet makes a speciality of sensible algorithms which have been used to unravel key difficulties in facts mining and which might be used on even the biggest datasets. It starts with a dialogue of the map-reduce framework, an immense device for parallelizing algorithms immediately.

Twitter Data Analytics (SpringerBriefs in Computer Science)

This short presents tools for harnessing Twitter information to find recommendations to advanced inquiries. The short introduces the method of accumulating facts via Twitter’s APIs and gives recommendations for curating huge datasets. The textual content supplies examples of Twitter facts with real-world examples, the current demanding situations and complexities of creating visible analytic instruments, and the easiest options to deal with those concerns.

Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings

This ebook constitutes the refereed complaints of the ninth foreign convention on Advances in typical Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers offered have been rigorously reviewed and chosen from eighty three submissions. The papers are geared up in topical sections on morphology, named entity attractiveness, time period extraction; lexical semantics; sentence point syntax, semantics, and laptop translation; discourse, coreference answer, automated summarization, and query answering; textual content class, details extraction and knowledge retrieval; and speech processing, language modelling, and spell- and grammar-checking.

Analysis of Large and Complex Data

This publication deals a photo of the cutting-edge in class on the interface among data, machine technological know-how and alertness fields. The contributions span a extensive spectrum, from theoretical advancements to functional functions; all of them percentage a powerful computational part. the subjects addressed are from the next fields: records and knowledge research; laptop studying and data Discovery; facts research in advertising; facts research in Finance and Economics; information research in drugs and the lifestyles Sciences; facts research within the Social, Behavioural, and well-being Care Sciences; information research in Interdisciplinary domain names; class and topic Indexing in Library and data technology.

Extra info for Big Data Analytics: Methods and Applications

Example text

HPCC uses a data-centric, declarative programming language called Enterprise Control Language (ECL) for both data refinery and query delivery. By using ECL, the user specifies what needs to be done on data instead of how to do it. The data transformation in ECL can be specified either locally or globally. Local transformation is carried out on each file part stored in a node of the Thor cluster in a parallel manner, whereas global transformation processes the global data file across all nodes of the Thor cluster.

37 dation (RIR) needs a different architecture compared to Similar Items Recommendation (SIR). , biomedical link prediction) process massive graphs as their underlying structure. Distributed graph techniques need to be in place for efficient and timely processing of such structures. , path-based processing in distributed graphs). ∙ Data locality and replication management policies ought to be cleverly integrated to provide robust and fault-tolerant massive data analytics. ∙ As massive data are generally produced from a great variety of sources, novel, semantics-based solutions should be developed to efficiently support data heterogeneity.

The reports had to be preprogrammed and were produced at specified times such as quarterly, half-yearly or annually. With the advent of relational database systems (RDBMS) and the structured query language (SQL) ad-hoc reporting became possible. The managers could query their organisation’s databases to seek information and reports which were not preprogrammed and were not routinely required. The A. in © Springer India 2016 S. Pyne et al. 1007/978-81-322-3628-3_3 41 42 A. Laha ability to query the database and drill-down as and when required allowed managers to figure out root causes of problems and helped them in eliminating these.

Download PDF sample

Rated 4.80 of 5 – based on 49 votes