Titlebook: Big Data Analytics; 7th International Co Sanjay Madria,Philippe Fournier-Viger,P. Krishna R Conference proceedings 2019 Springer Nature Swi

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Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents It presents a query language. It is suitable for skilled and semi-skilled domain experts, who are adept at the use of a specific collection of documents. It returns suitable documents selected by using document fragments, that satisfy user’s query. In contrast to knowledge graph approach, the techn

Canopy

Pairing Users in Social Media via Processing Meta-data from Conversational Filesviewed, downloaded and analyzed by unauthorized entities, a large number of people are still willing to compromise their privacy today. On the other hand though, this trend may change. Improved awareness on protecting content on social media, coupled with governments creating and enforcing data prot

柱廊

Large-Scale Information Extraction from Emails with Data Constraintsment. More than 60% of the email traffic constitutes business to consumer (B2C) emails (e.g., flight reservations, payment reminder, order confirmations, etc.). Most of these emails are generated by filling a . with user or transaction specific values from databases. In this paper we describe variou

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Suśruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps forerited hemolytic anemias like β thalassemias (β-TT). In Eastern and North-Eastern India about 25–40% of the public blood bank blood is consumed by patients with β Thalassemia. Moreover, 51% of Indian women in the reproductive age suffer from IDA. Most vulnerable group of anemic patients is in the ru

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Why Multilayer Networks Instead of Simple Graphs? Modeling Effectiveness and Analysis Flexibility an a few. We are also in search for models and analytical techniques that can accommodate more complex and increasingly large size data (scalability). Our ability to analyze large complex, disparate data for a broad set of analysis objectives differentiates big data analytics from mining which is narr

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Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Netwnfrastructure. We propose a distributable scheduling algorithm using gossip called GBTS-F for reliable and dynamic discovery of appropriate nodes which can execute the tasks. GBTS-F uses the slack time of the tasks for optimizing the gossiping duration and thus satisfies the each task timing constra