The Utilization of Business Intelligence and Data Mining in the Insurance Marketplace

2008 ◽  
pp. 1888-1900
Author(s):  
Jeff Hoffman
Keyword(s):  
Climate Change ◽  
Data Mining ◽  
Business Intelligence ◽  
Hubble Space Telescope ◽  
Deep Space ◽  
Satellite Imaging ◽  
Space Telescope ◽  
Information Giving ◽  
The Future ◽  
Insight Into

NASA Missions are as varied as the mandate of the agency. From using satellite imaging to study climate change to scanning deep space with the Hubble Space Telescope, NASA’s primary goal is to further humankind’s knowledge of our universe. Pioneering the future. Pushing the envelope. Just as NASA’s goals stretch our thoughts, business intelligence (BI) and data mining take us on a journey that continuously provides discovery of new and valuable information, giving us insight into the unknown.

The Utilization of Business Intelligence and Data Mining in the Insurance Marketplace

2011 ◽  
pp. 83-109
Author(s):  
Jeff Hoffman
Keyword(s):  
Climate Change ◽  
Data Mining ◽  
Business Intelligence ◽  
Hubble Space Telescope ◽  
Deep Space ◽  
Satellite Imaging ◽  
Space Telescope ◽  
Information Giving ◽  
The Future ◽  
Insight Into

NASA Missions are as varied as the mandate of the agency. From using satellite imaging to study climate change to scanning deep space with the Hubble Space Telescope, NASA’s primary goal is to further humankind’s knowledge of our universe. Pioneering the future. Pushing the envelope. Just as NASA’s goals stretch our thoughts, business intelligence (BI) and data mining take us on a journey that continuously provides discovery of new and valuable information, giving us insight into the unknown.

Launch Vehicles of the Future: Earth to Near-Earth Space

1990 ◽  
Vol 123 ◽  
pp. 347-354
Author(s):  
G. A. Keyworth
Keyword(s):  
Space Shuttle ◽  
Hubble Space Telescope ◽  
National Policy ◽  
Launch Vehicles ◽  
Space Telescope ◽  
Earth Space ◽  
Near Earth Space ◽  
Space Launch ◽  
The Future ◽  
The U.S

None of us thought, when this colloquium was scheduled, that the timing would enable it to become a celebration as well. The launch, after years of postponements, of the Hubble Space Telescope, has cast a galactic glow over the proceedings here this week. But at the same time, the frustrating delays caused by the collapse in 1986 and very slow regeneration of the U.S. space launch capabilities since then make this discussion of near-earth access very pointed.As we know, the sheer momentum of the U.S. Space Shuttle Program has dominated our perceptions of space launch for a decade and a half. It reached its peak in the early 1980s when our national policy placed nearly total reliance on the Shuttle as our means of access to space. It was a policy doomed to fail, for obvious and not-so-obvious reasons.

scholarly journals Stellar Evolution in Globular Clusters and HST

1988 ◽  
Vol 126 ◽  
pp. 443-454
Author(s):  
Alvio Renzini
Keyword(s):  
Stellar Evolution ◽  
Working Group ◽  
Globular Clusters ◽  
Hubble Space Telescope ◽  
Star Clusters ◽  
Space Telescope ◽  
The Future

Globular clusters (GC) have been regarded among the most obvious targets for the Hubble Space Telescope since the very first conception of this project, and some observational programs have been exemplified in publications concerning the future use of HST (e.g. Westphal 1982 and Macchetto 1982, in the “Patras Book”, Bahcall 1985, see also the 1985 Report of the STScI working group on Stars and Star Clusters).

scholarly journals Space Astrometry and the HST Wide Field/Planetary Camera

1990 ◽  
Vol 141 ◽  
pp. 347-354
Author(s):  
P. K. Seidelmann
Keyword(s):  
Hubble Space Telescope ◽  
Base Line ◽  
Wide Field ◽  
Space Telescope ◽  
Optical Interferometers ◽  
The Future ◽  
Space Astrometry ◽  
Near Future

The launch of the Hipparcos spacecraft marked the beginning of space astrometry. Hopefully, this will be followed in the near future by the launch of the Hubble Space Telescope, which is not primarily an astrometric instrument, but has astrometric capabilities which will be described in this paper. In addition, there are plans and proposals for future astrometric spacecraft. These include the launch of a radio antenna, which combined with Earth-based antennae would provide a very, very long base line interferometer (Levy, 1986, 1988). There are proposals for launching optical interferometers, such as POINTS (Reasenberg et al 1988). There are also proposals by York and Gatewood (Gatewood et al., 1986; Gatewood 1987, 1989) for launching astrometric instruments using gratings and detectors. Thus, the future holds the prospects for a whole new capability in the field of astrometry.

Internal kinematics of Globular Clusters: Current state of the art, issues, and what to expect from the future

2019 ◽  
Vol 14 (S351) ◽  
pp. 408-411
Author(s):  
Andrea Bellini
Keyword(s):  
Globular Clusters ◽  
State Of The Art ◽  
Hubble Space Telescope ◽  
Pencil Beam ◽  
Next Generation ◽  
Space Telescope ◽  
Current State ◽  
Magnitude Diagram ◽  
The Future

AbstractThe advent of the Gaia mission is bringing astrometry to a new renaissance. Although Gaia will make important breakthroughs in many different scientific areas, stars in the crowded central fields of globular clusters (GCs) and at the faint end of the color-magnitude diagram are and will be out of Gaia’s reach. The Hubble Space Telescope (HST) is an excellent astrometric tool that has allowed us to distinguish and measure positions and brightness of faint stars in pencil-beam fields down to the very center of some GCs. Gaia and HST are two wonderful, complementary tools, but are yet far from being able to offer a complete dynamical picture of GCs. There is now great prefiguration for what the next-generation telescopes will be able to do, both ground- and space-based. This document highlights strengths and weaknesses of different facilities at different spatial and spectral regimes.

scholarly journals Future Trends in Data Science

2021 ◽  
pp. 364-372
Author(s):  
Yaasmin Attarwala ◽  
Sakshi Baid
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Business Intelligence ◽  
Data Science ◽  
Future Trends ◽  
Hidden Information ◽  
Data Repositories ◽  
Huge Data ◽  
The Future

With progression in technology, an enormous magnitude of information being collected from digital users by various businesses and organizations, has resulted in formation of huge data repositories commonly known by the term Big data. Data mining is a tool used for extracting hidden information from these vast databases to identify unique patterns and rules. The present paper aims to provide a detailed description of the importance of big data in today’s times, its characteristics, how data mining plays an important role in big data, why it is a necessity in today’s times, the process of data mining and functionalities it performs, data mining techniques such as classification, clustering etc. that help in finding the patterns to decide upon the future trends in businesses and applications of the same in various fields. The paper also discusses the important role of data mining in Business Intelligence (BI) and various industries, to identify unique patterns and obtain results from the data along with the second half of the paper focusing on further exploring the challenges that are faced in big data and tools used, the applications and upcoming trends in data science and lastly, the scope and importance of data science in the future.

scholarly journals Optical Polarimetry of the Crab Nebula

2011 ◽  
Vol 7 (S285) ◽  
pp. 379-381
Author(s):  
Paul Moran ◽  
Andy Shearer ◽  
Roberto Mignani
Keyword(s):  
Hubble Space Telescope ◽  
Crab Nebula ◽  
Position Angle ◽  
Pulse Beam ◽  
Camera System ◽  
Time Resolved ◽  
Space Telescope ◽  
The Crab Nebula ◽  
Insight Into ◽  
Polarisation Measurements

AbstractTime-resolved polarisation measurements of pulsars provide an unique insight into the geometry of the emission regions. Hubble Space Telescope (HST) polarisation data of the Crab Nebula were obtained from the Multimission Archive at STScI (MAST). The data are composed of a series of observations of the Crab Nebula with the HST and ACS camera system taken in three different polarisation filters (0°, 60° and 120°) between 2003 August and 2005 December. Polarisation vector maps of the Nebula were produced with the polarimetry software IMPOL. The degree of polarisation (P.D.) and the position angle (P.A.) of the pulsar's integrated pulse beam were measured, and also that of the nearby Synchrotron Knot, yielding P.D. = 4.90 ± 0.33 %, P.A. = 106°.46 ± 1°.9 for the pulsar, and P.D. = 61.70 ± 0.72 %, P.A. = 126°.86 ± 0°.23 for the Synchrotron Knot. These results are consistent with those of obtained by others using INTEGRAL.

What we can learn from the parallels between the COVID-19 and the future climate change crises

2020 ◽  
Author(s):  
Rubén D. Manzanedo ◽  
Peter Manning
Keyword(s):  
Climate Change ◽  
Global Economy ◽  
Global Climate ◽  
Future Climate Change ◽  
Substantial Portion ◽  
Preventative Measures ◽  
The Future ◽  
Behavioral Norm ◽  
Climate Crisis ◽  
Global Population

The ongoing COVID-19 outbreak pandemic is now a global crisis. It has caused 1.6+ million confirmed cases and 100 000+ deaths at the time of writing and triggered unprecedented preventative measures that have put a substantial portion of the global population under confinement, imposed isolation, and established ‘social distancing’ as a new global behavioral norm. The COVID-19 crisis has affected all aspects of everyday life and work, while also threatening the health of the global economy. This crisis offers also an unprecedented view of what the global climate crisis may look like. In fact, some of the parallels between the COVID-19 crisis and what we expect from the looming global climate emergency are remarkable. Reflecting upon the most challenging aspects of today’s crisis and how they compare with those expected from the climate change emergency may help us better prepare for the future.

How Sweet and Ripe are the Fruits? Data Mining Techniques for Classifying and Predicting ‘Quick-Wins’ Direct Capital Investment in Indonesia as One Approach to Business intelligence Orientation and Knowledge Management Scenarios of Indonesian Enterprises

2019 ◽  
Vol 1 (1) ◽  
pp. 121-131
Author(s):  
Ali Fauzi
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Direct Investment ◽  
Capital Investment ◽  
Export Market ◽  
Added Value ◽  
Knowledge Generation ◽  
Management Scenarios ◽  
Data Mining Techniques ◽  
Knowledge Based Economy

The existence of big data of Indonesian FDI (foreign direct investment)/ CDI (capital direct investment) has not been exploited somehow to give further ideas and decision making basis. Example of data exploitation by data mining techniques are for clustering/labeling using K-Mean and classification/prediction using Naïve Bayesian of such DCI categories. One of DCI form is the ‘Quick-Wins’, a.k.a. ‘Low-Hanging-Fruits’ Direct Capital Investment (DCI), or named shortly as QWDI. Despite its mentioned unfavorable factors, i.e. exploitation of natural resources, low added-value creation, low skill-low wages employment, environmental impacts, etc., QWDI , to have great contribution for quick and high job creation, export market penetration and advancement of technology potential. By using some basic data mining techniques as complements to usual statistical/query analysis, or analysis by similar studies or researches, this study has been intended to enable government planners, starting-up companies or financial institutions for further CDI development. The idea of business intelligence orientation and knowledge generation scenarios is also one of precious basis. At its turn, Information and Communication Technology (ICT)’s enablement will have strategic role for Indonesian enterprises growth and as a fundamental for ‘knowledge based economy’ in Indonesia.

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