instead of 7 sins in Western thought, there are only 5 evils in Sanksrit. Also these evils are correlated, if you control one too much, the other evils will rise. Kam – Your Lusts or Desires Krodha-Your Anger Madh-Your Pride Lobh-Your Greed for Monetary Satisfaction Moh-Your affection and love and attachments
the kind of algorithms that are currently or being proposed for cyber conflict, as well as or detection
Cyber Conflict requires some basic elements of the following broad disciplines within Computer and Information Science (besides the obvious disciplines of heterogeneous database types for different kinds of data) –
1) Cryptography – particularly a cryptographic hash function that maximizes cost and time of the enemy trying to break it.
The ideal cryptographic hash function has four main or significant properties:
it is easy (but not necessarily quick) to compute the hash value for any given message
it is infeasible to generate a message that has a given hash
it is infeasible to modify a message without changing the hash
it is infeasible to find two different messages with the same hash
A commercial spin off is to use this to anonymized all customer data stored in any database, such that no database (or data table) that is breached contains personally identifiable information. For example anonymizing the IP Addresses and DNS records with a mashup (embedded by default within all browsers) of Tor and MafiaaFire extensions can help create better information privacy on the internet.
This can also help in creating better encryption between Instant Messengers in Communication
2) Data Disaster Planning for Data Storage (but also simulations for breaches)- including using cloud computing, time sharing, or RAID for backing up data. Planning and creating an annual (?) exercise for a simulated cyber breach of confidential just like a cyber audit- similar to an annual accounting audit
3) Basic Data Reduction Algorithms for visualizing large amounts of information. This can include
Date: 10-12 February 2012
Venue: Symbiosis Institute of Computer Studies & Research (SICSR) at
Symbiosis International University, Pune,India
Extremely rough event page, soon to get more details: https://www.mediawiki.org/wiki/Pune_Hackathon_Feb_2012
As you know, a Wikimedia hackathon is a chance to learn how to develop
using MediaWiki, Phonegap, and our other technologies, and to work
alongside experts. Software engineers, designers, and translators are
welcome. We’re tentatively planning to focus on internationalisation and
localisation, mobile Wikipedia access, and the JavaScript-based gadgets
framework.
Date: September 29, 2011 Time: 10:00 AM PT/1:00 PM ET Duration: 60 minutes Language: English
Whether your building business intelligence (BI) solutions for your organization or for your customers, one thing is likely: your users want access to information anytime, anywhere. The challenge is getting the right information, to the right person, on the right device, without breaking your budget.
You can see precisely what we mean at the Jaspersoft 4.2 launch webinar on Thursday, September 29th.
Join us and see how Jaspersoft 4.2 can deliver superior choice for organizations looking to deliver information to end users, wherever they are. Jaspersoft is focused on providing modern, usable, affordable BI for everyone.
● Discover the new product capabilities that will improve BI access for your users
● See Jaspersoft 4.2 live demos
● Join Japersoft experts and fellow technology professionals in a real-time, interactive discussion.
A bit early but the latest editions of both SAS and R were released last week.
SAS 9.3is clearly a major release with multiple enhancements to make SAS both relevant and pertinent in enterprise software in the age of big data. Also many more R specific, JMP specific and partners like Teradata specific enhancements.
SAS® Data Integration Server includes DataFlux® Data Management Platform for enhanced data quality
Master Data Management (DataFlux® qMDM)
Provides support for master hub of trusted entity data.
Analytics
SAS® Enterprise Miner™
New survival analysis predicts when an event will happen, not just if it will happen.
New rate making capability for insurance predicts optimal insurance premium for individuals based on attributes known at application time.
Time Series Data Mining node (experimental) applies data mining techniques to transactional, time-stamped data.
Support Vector Machines node (experimental) provides a supervised machine learning method for prediction and classification.
SAS® Forecast Server
SAS Forecast Server is integrated with the SAP APO Demand Planning module to provide SAP users with access to a superior forecasting engine and automatic forecasting capabilities.
SAS® Model Manager
Seamless integration of R models with the ability to register and manage R models in SAS Model Manager.
Ability to perform champion/challenger side-by-side comparisons between SAS and R models to see which model performs best for a specific need.
SAS/OR® and SAS® Simulation Studio
Optimization
Simulation
Automatic input distribution fitting using JMP with SAS Simulation Studio.
Text analytics
SAS® Text Miner
SAS® Enterprise Content Categorization
SAS® Sentiment Analysis
Scalability and high-performance
SAS® Analytics Accelerator for Teradata (new product)
SAS® Grid Manager
and latest from http://www.r-project.org/ I was a bit curious to know why the different licensing for R now (from GPL2 to GPL2- GPL 3)
• No parts of R are now licensed solely under GPL-2. The licences for packages rpart and survival have been changed, which means that the licence terms for R as distributed are GPL-2 | GPL-3.
This is a maintenance release to consolidate various minor fixes to 2.13.0.
CHANGES IN R VERSION 2.13.1:
NEW FEATURES:
• iconv() no longer translates NA strings as "NA".
• persp(box = TRUE) now warns if the surface extends outside the
box (since occlusion for the box and axes is computed assuming
the box is a bounding box). (PR#202.)
• RShowDoc() can now display the licences shipped with R, e.g.
RShowDoc("GPL-3").
• New wrapper function showNonASCIIfile() in package tools.
• nobs() now has a "mle" method in package stats4.
• trace() now deals correctly with S4 reference classes and
corresponding reference methods (e.g., $trace()) have been added.
• xz has been updated to 5.0.3 (very minor bugfix release).
• tools::compactPDF() gets more compression (usually a little,
sometimes a lot) by using the compressed object streams of PDF
1.5.
• cairo_ps(onefile = TRUE) generates encapsulated EPS on platforms
with cairo >= 1.6.
• Binary reads (e.g. by readChar() and readBin()) are now supported
on clipboard connections. (Wish of PR#14593.)
• as.POSIXlt.factor() now passes ... to the character method
(suggestion of Joshua Ulrich). [Intended for R 2.13.0 but
accidentally removed before release.]
• vector() and its wrappers such as integer() and double() now warn
if called with a length argument of more than one element. This
helps track down user errors such as calling double(x) instead of
as.double(x).
INSTALLATION:
• Building the vignette PDFs in packages grid and utils is now part
of running make from an SVN checkout on a Unix-alike: a separate
make vignettes step is no longer required.
These vignettes are now made with keep.source = TRUE and hence
will be laid out differently.
• make install-strip failed under some configuration options.
• Packages can customize non-standard installation of compiled code
via a src/install.libs.R script. This allows packages that have
architecture-specific binaries (beyond the package's shared
objects/DLLs) to be installed in a multi-architecture setting.
SWEAVE & VIGNETTES:
• Sweave() and Stangle() gain an encoding argument to specify the
encoding of the vignette sources if the latter do not contain a
\usepackage[]{inputenc} statement specifying a single input
encoding.
• There is a new Sweave option figs.only = TRUE to run each figure
chunk only for each selected graphics device, and not first using
the default graphics device. This will become the default in R
2.14.0.
• Sweave custom graphics devices can have a custom function
foo.off() to shut them down.
• Warnings are issued when non-portable filenames are found for
graphics files (and chunks if split = TRUE). Portable names are
regarded as alphanumeric plus hyphen, underscore, plus and hash
(periods cause problems with recognizing file extensions).
• The Rtangle() driver has a new option show.line.nos which is by
default false; if true it annotates code chunks with a comment
giving the line number of the first line in the sources (the
behaviour of R >= 2.12.0).
• Package installation tangles the vignette sources: this step now
converts the vignette sources from the vignette/package encoding
to the current encoding, and records the encoding (if not ASCII)
in a comment line at the top of the installed .R file.
DEPRECATED AND DEFUNCT:
• The internal functions .readRDS() and .saveRDS() are now
deprecated in favour of the public functions readRDS() and
saveRDS() introduced in R 2.13.0.
• Switching off lazy-loading of code _via_ the LazyLoad field of
the DESCRIPTION file is now deprecated. In future all packages
will be lazy-loaded.
• The off-line help() types "postscript" and "ps" are deprecated.
UTILITIES:
• R CMD check on a multi-architecture installation now skips the
user's .Renviron file for the architecture-specific tests (which
do read the architecture-specific Renviron.site files). This is
consistent with single-architecture checks, which use
--no-environ.
• R CMD build now looks for DESCRIPTION fields BuildResaveData and
BuildKeepEmpty for per-package overrides. See ‘Writing R
Extensions’.
BUG FIXES:
• plot.lm(which = 5) was intended to order factor levels in
increasing order of mean standardized residual. It ordered the
factor labels correctly, but could plot the wrong group of
residuals against the label. (PR#14545)
• mosaicplot() could clip the factor labels, and could overlap them
with the cells if a non-default value of cex.axis was used.
(Related to PR#14550.)
• dataframe[[row,col]] now dispatches on [[ methods for the
selected column (spotted by Bill Dunlap).
• sort.int() would strip the class of an object, but leave its
object bit set. (Reported by Bill Dunlap.)
• pbirthday() and qbirthday() did not implement the algorithm
exactly as given in their reference and so were unnecessarily
inaccurate.
pbirthday() now solves the approximate formula analytically
rather than using uniroot() on a discontinuous function.
The description of the problem was inaccurate: the probability is
a tail probablity (‘2 _or more_ people share a birthday’)
• Complex arithmetic sometimes warned incorrectly about producing
NAs when there were NaNs in the input.
• seek(origin = "current") incorrectly reported it was not
implemented for a gzfile() connection.
• c(), unlist(), cbind() and rbind() could silently overflow the
maximum vector length and cause a segfault. (PR#14571)
• The fonts argument to X11(type = "Xlib") was being ignored.
• Reading (e.g. with readBin()) from a raw connection was not
advancing the pointer, so successive reads would read the same
value. (Spotted by Bill Dunlap.)
• Parsed text containing embedded newlines was printed incorrectly
by as.character.srcref(). (Reported by Hadley Wickham.)
• decompose() used with a series of a non-integer number of periods
returned a seasonal component shorter than the original series.
(Reported by Rob Hyndman.)
• fields = list() failed for setRefClass(). (Reported by Michael
Lawrence.)
• Reference classes could not redefine an inherited field which had
class "ANY". (Reported by Janko Thyson.)
• Methods that override previously loaded versions will now be
installed and called. (Reported by Iago Mosqueira.)
• addmargins() called numeric(apos) rather than
numeric(length(apos)).
• The HTML help search sometimes produced bad links. (PR#14608)
• Command completion will no longer be broken if tail.default() is
redefined by the user. (Problem reported by Henrik Bengtsson.)
• LaTeX rendering of markup in titles of help pages has been
improved; in particular, \eqn{} may be used there.
• isClass() used its own namespace as the default of the where
argument inadvertently.
• Rd conversion to latex mis-handled multi-line titles (including
cases where there was a blank line in the \title section).
I always liked Citrix products when I was a member of the Technical Advisory Board at the University of Tennessee. I especially liked enabling SAS software , R software, Matlab software , ONLY from a browser.
Data Mining through cloud computing, yes University of Tennessee’s analytics server http://analytics.utk.edu was way ahead in 2009- all these softwares at one portal no software needed on your own PC, simply upload data and work on any analytics software.
Here is a nice citrix webinar on managing Time (so you can read more webinars! nah. I think Youtube live streaming events with interactive question and answers is the way of the future while webinars are for Baby Boomers- you can do a test and control experiment yourself if you are in the webinar business. its a web2.oinar)
Interruptions are productivity killers – between email, phone calls and back-to-back meetings, how do you find time to work on your top priorities?
Join top time-management guru Kent Curtis and learn how to stop “living in your inbox” and start prioritising tasks, messages and appointments according to what is most important.
This webinar takes the best principles from FranklinCovey’s world-class productivity training and teaches you how to apply them while using Microsoft Outlook as your scheduling tool.
Attend this interactive, one-hour webinar to:
Stay focused every day with a reliable planning system utilising Microsoft Outlook.
Control competing demands such as email, voice mail, meetings and interruptions.
Apply a planning process that gets better business results.
Reduce stress by eliminating low priority activities and distractions.
Register for the Webinar
Please forward this to colleagues who might be interested in learning more.
A white paper is an authoritative report or guide that helps solve a problem. White papers are used to educate readers and help people make decisions, and are often requested and used in politics, policy, business, and technical fields. In commercial use, the term has also come to refer to documents used by businesses as a marketing or sales tool. Policy makers frequently request white papers from universities or academic personnel to inform policy developments with expert opinions or relevant research.
Government white papers
In the Commonwealth of Nations, “white paper” is an informal name for a parliamentary paper enunciating government policy; in the United Kingdom these are mostly issued as “Command papers“. White papers are issued by the government and lay out policy, or proposed action, on a topic of current concern. Although a white paper may on occasion be a consultation as to the details of new legislation, it does signify a clear intention on the part of a government to pass new law. White Papers are a “…. tool of participatory democracy … not [an] unalterable policy commitment.[1] “White Papers have tried to perform the dual role of presenting firm government policies while at the same time inviting opinions upon them.” [2]
In Canada, a white paper “is considered to be a policy document, approved by Cabinet, tabled in the House of Commons and made available to the general public.”[3] A Canadian author notes that the “provision of policy information through the use of white and green papers can help to create an awareness of policy issues among parliamentarians and the public and to encourage an exchange of information and analysis. They can also serve as educational techniques”.[4]
“White Papers are used as a means of presenting government policy preferences prior to the introduction of legislation”; as such, the “publication of a White Paper serves to test the climate of public opinion regarding a controversial policy issue and enables the government to gauge its probable impact”.[5]
By contrast, green papers, which are issued much more frequently, are more open ended. These green papers, also known as consultation documents, may merely propose a strategy to be implemented in the details of other legislation or they may set out proposals on which the government wishes to obtain public views and opinion.
White papers published by the European Commission are documents containing proposals for European Union action in a specific area. They sometimes follow a green paper released to launch a public consultation process.
Churchill White Paper, 1922, planning a national home in Palestine for Jews. The white paper which unfortunately couldnt see the consequences- ergo high gas prices due to oil shocks,dead people in all manners of idiotic terror plots, global headache. Mr Churchill also had to deny requests for emergency food leading to 3 million Bengali deaths in 1940-45 Winston Churchill the Prime Minister of that time responded with a telegram to Wavell asking, if food was so scarce, “why Gandhi hadn’t died yet.
You know whom to blame for all of this. Its Winston Churchill, not Barack Obama
White Paper of 1939, calling for the creation of a unified Palestinian state and a limited Jewish immigration and ability to purchase land. Which contradicted the white paper above –
1969 White Paper, 1969 (later abandoned), to abolish the Indian Act in Canada and recognize First Nations as the same as other minorities in Canada, rather than distinct groups.
Since the early 1990s, the term white paper has also come to refer to documents used by businesses and so-called think tanks as marketing or sales tools. White papers of this sort argue that the benefits of a particular technology, product or policy are superior for solving a specific problem.
These types of white papers are almost always marketing communications documents designed to promote a specific company’s or group’s solutions or products. As a marketing tool, these papers will highlight information favorable to the company authorizing or sponsoring the paper. Such white papers are often used to generate sales leads, establish thought leadership, make a business case, or to educate customers or voters.
There are four main types of commercial white papers:
Business benefits: Makes a business case for a certain technology or methodology.
Technical: Describes how a certain technology works.
Hybrid: Combines business benefits with technical details in a single document.
Policy: Makes a case for a certain political solution to a societal or economic challenge.
Resources
Stelzner, Michael (2007). Writing White Papers: How to capture readers and keep them engaged. Poway, California: WhitePaperSource Publishing. pp. 214. ISBN9780977716937.
Bly, Robert W. (2006). The White Paper Marketing Handbook. Florence, Kentucky: South-Western Educational Publishing. pp. 256. ISBN9780324300826.
Kantor, Jonathan (2009). Crafting White Paper 2.0: Designing Information for Today’s Time and Attention Challenged Business Reader. Denver,Colorado: Lulu Publishing. pp. 167.ISBN9780557163243.
DECISION STATS 