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In the 1980s, traditional Business Intelligence (BI) systems
focused on the delivery of reports that describe the state of
business activities in the past, such as for questions like "How
did our sales perform during the last quarter?" A decade later,
there was a shift to more interactive content that presented how
the business was performing at the present time, answering
questions like "How are we doing right now?" Today the focus of BI
users are looking into the future. "Given what I did before and how
I am currently doing this quarter, how will I do next quarter?"
Furthermore, fuelled by the demands of Big Data, BI systems are
going through a time of incredible change. Predictive analytics,
high volume data, unstructured data, social data, mobile,
consumable analytics, and data visualization are all examples of
demands and capabilities that have become critical within just the
past few years, and are growing at an unprecedented pace. This book
introduces research problems and solutions on various aspects
central to next-generation BI systems. It begins with a chapter on
an industry perspective on how BI has evolved, and discusses how
game-changing trends have drastically reshaped the landscape of BI.
One of the game changers is the shift toward the consumerization of
BI tools. As a result, for BI tools to be successfully used by
business users (rather than IT departments), the tools need a
business model, rather than a data model. One chapter of the book
surveys four different types of business modeling. However, even
with the existence of a business model for users to express
queries, the data that can meet the needs are still captured within
a data model. The next chapter on vivification addresses the
problem of closing the gap, which is often significant, between the
business and the data models. Moreover, Big Data forces BI systems
to integrate and consolidate multiple, and often wildly different,
data sources. One chapter gives an overview of several integration
architectures for dealing with the challenges that need to be
overcome. While the book so far focuses on the usual structured
relational data, the remaining chapters turn to unstructured data,
an ever-increasing and important component of Big Data. One chapter
on information extraction describes methods for dealing with the
extraction of relations from free text and the web. Finally, BI
users need tools to visualize and interpret new and complex types
of information in a way that is compelling, intuitive, but
accurate. The last chapter gives an overview of information
visualization for decision support and text.
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Algorithms and Models for the Web-Graph - Fourth International Workshop, WAW 2006, Banff, Canada, November 30 - December 1, 2006, Revised Papers (Paperback, 2008 ed.)
William Aiello, Andrei Broder, Jeannette Janssen, Evangelos Milios
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R1,580
Discovery Miles 15 800
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Ships in 10 - 15 working days
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The World Wide Web has become part of our everyday life and
information retrieval and data mining on the Web are now of
enormous practical interest. The algorithms supporting these
activities combine the view of the Web as a text repository and as
a graph, induced in various ways by links among pages, links among
hosts, or other similar networks. The aim of the 4th Workshop on
Algorithms and Models for the Web-Graph (WAW 2006)wasto further the
understanding of these Web-induced graphsand stimulate the
developmentofhigh-performancealgorithmsandapplicationsthat use the
graph structure of the Web. The workshop was meant both to foster
an exchange of ideas among the diverse set of researchers already
involved in this topic and to act as an introduction for the larger
community to the state of the art in this area. The workshop
program included invited keynote talks by Fan Chung-Graham (UCSD),
Soumen Chakrabarti (IITB), Walter Willinger (ATT Research) and
Filippo Menczer (Indiana). WAW 2006tookplaceonNovember30
andDecember 1 at the Ban?Inter-
tionalResearchInstitute(BIRS),inBan?,Alberta(Canada).Itwasthefourthin
a seriesof verysuccessful workshopson the Web graph.W AW 2002
(Vancouver) and 2004 (Rome) were held in conjunction with the
Annual IEEE Symposium on Foundations of Computer Science (FOCS).
WAW 2003 (Budapest) was held in conjunction with the 12th
International World Wide Web Conference.
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Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Halifax, Nova Scotia, Canada, June 2-5, 2015, Proceedings (Paperback, 2015 ed.)
Denilson Barbosa, Evangelos Milios
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R2,714
Discovery Miles 27 140
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 28th Canadian
Conference on Artificial Intelligence, Canadian AI 2015, held in
Halifax, Nova Scotia, Canada, in June 2015.The 15 regular papers
and 12 short papers presented together with 8 papers from the
Graduate Student Symposium were carefully reviewed and selected
from 81 submissions. The papers are organized in topical sections
such as agents, uncertainty and games; AI applications; NLP, text
and social media mining; data mining and machine learning.
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