Data Mining Reveals The Secret To Matching Crowdfunding Projects To Investors

Peat There is one thing that I always wondered about fulachta fiadh: However according to many other sources, there are actually quite a few fulactha which were set in bogs. Every single potential use of fulachta fiadh I have discussed so far would not have been possible if the fulacht fiadh trough was cut into a waterlogged acidic soil. Unless the trough was made absolutely watertight. Here are two examples. Look at the gaps between the planks in the first one. And the second one is made from roundwood, impossible to make watertight. Any hole dug in an waterlogged acidic soil would soon fill with acidic water.

The Battle for the Future of Data Mining

Instead, we need a civic solution, because democracy is at risk. In , The Public Interest, then a leading venue for highbrow policy debate, published a provocative essay by Paul Baran, one of the fathers of the data transmission method known as packet switching. We could check to see whether the local department store has the advertised sports shirt in stock in the desired color and size. We could ask when delivery would be guaranteed, if we ordered.

The general picture is unsurprising.

Drill down to Boston. The user forms a hypothesis about a relationship and verifies it or discounts it with a series of queries against the data. For example, an analyst might hypothesize that people with low income and high debt are bad credit risks and query the database to verify or disprove this assumption. Data mining can be used to generate an hypothesis. For example, an analyst might use a neural net to discover a pattern that analysts did not think to try – for example, that people over 30 years old with low incomes and high debt but who own their own homes and have children are good credit risks.

How Data Mining Works How is data mining able to tell you important things that you didn’t know or what is going to happen next? That technique that is used to perform these feats is called modeling. Modeling is simply the act of building a model a set of examples or a mathematical relationship based on data from situations where the answer is known and then applying the model to other situations where the answers aren’t known. Modeling techniques have been around for centuries, of course, but it is only recently that data storage and communication capabilities required to collect and store huge amounts of data, and the computational power to automate modeling techniques to work directly on the data, have been available.

As a simple example of building a model, consider the director of marketing for a telecommunications company. He would like to focus his marketing and sales efforts on segments of the population most likely to become big users of long distance services. He knows a lot about his customers, but it is impossible to discern the common characteristics of his best customers because there are so many variables.

From his existing database of customers, which contains information such as age, sex, credit history, income, zip code, occupation, etc. This, then, is his model for high value customers, and he would budget his marketing efforts to accordingly.

Security Issues in Data Mining

The word “data” was first used to mean “transmissible and storable computer information” in The expression “data processing” was first used in However, in non-specialist, everyday writing, “data” is most commonly used in the singular, as a mass noun like “information”, “sand” or “rain”. According to a common view, data is collected and analyzed; data only becomes information suitable for making decisions once it has been analyzed in some fashion.

Prerequisites Ideally, students in the course would have a good background in data mining, some database experience, a knowledge of probability and statistics, and a good background in computer security.

Dust, Diesel, Decibels and Danger In the mid s a small gravel sifting operation, located a mile north of the village of Cerrillos NM, was partnered by a much larger gravel operator and renamed Cerrillos Gravel Products. A rock crusher was brought in and soon hundreds of 18 wheel trucks were hauling gravel through the narrow roads of the village.

This heavy industrial traffic completely overwhelmed the peace and quiet of village life, changing its character overnight from rural to industrial. Dust, diesel, decibels and danger were the “four D’s” that dominated what was once a rural village that hoped to attract tourists traveling the nearby National Scenic Byway, the Turquoise Trail.

The roar, jake brakes, and the overwhelming number of speeding heavy trucks traveling back and forth also negatively impacted the Turquoise Trail and the residents living along it. One such resident counted trucks passing in one day.

Search for Mines, Properties, Mineral Leases, Claims and Assets FOR SALE

During the U. More than ever before, social media became an arena for disseminating information, often false information, to sway public opinion this way or that way. It was orginally seen and reported as a masterfully orchestrated campaign by strategic players such as Steve Bannon, who used a provocative content and a mixture of truth and false information to bait people into believing things such as Hillary Clinton being involved in a pedophile ring.

Only in , a year after Trump was inaugurated, it became increasingly clear that the manipulation of the social media was not done by individuals or even by political groups and campaigns, but by highly professional companies hired, such as Cambridge Analytica, to design strategies with content of so-called fake news, but also to use complex datamining methods in order to know how to disseminate the information in the most effective way.

The method is now, as we know it, is considered what troll farms do, and the Homeland Security Secretary Kirstjen Nielsen said this week that the social media campaign intended to skew the results of the U.

We created an Instructional Guide for teachers which provided tools for analyzing where a problem is difficult and worksheets to guide students in developing mathematical thinking.

Here are six sobering facts about online dating services and a few suggestions for routing around the privacy pitfalls. The most pressing concern is that information about you may be exposed to future legal requests that might involve a criminal investigation, a divorce case, or even a legal tussle with an insurance company. As Joseph Bonneau explained , the main website provides an obfuscated URL for the photo to anyone it deems has permission to view it.

What you can do about it: Look at the privacy policy of a website before you sign up and see what they say about how they treat data of deleted profiles. Remember that a privacy policy can change at any time; even if a site promises to discard your data upon deletion now, it could revise that policy tomorrow to hang on to data for a few months—or forever. If you decide to sign up for a dating site, consider taking a few steps to make it harder for a dating site to easily identify you. Get a throw-away email address, avoid using your name, and avoid paid sites that would elicit your credit card number and billing information.

To maintain the highest levels of privacy, consider taking steps to obfuscate your IP address, such as using a VPN. Gaping security holes riddle popular mobile dating sites-still. In January, an Australian hacker exploited a security flaw in Grindr, the mobile app that allows gay and questioning men to find sexual partners nearby through the use of GPS technology.

The vulnerability allows an attacker to impersonate another user, send messages on his behalf, access sensitive data like photos and messages, and even view passwords. For right now, we have to agree with Sophos security: Your profile is indexed by Google.

Technology and Science News

By Chris Boorman He is responsible for Informatica’s global voice to the market, which includes corporate, partner and field marketing. The thinking about social media in corporate marketing departments is rapidly evolving. Initially, social media was seen as yet another broadcast opportunity for pushing messages out into the world, and for many companies that view persists.

However, there is another use of social media which may prove to be more powerful over the long term: Currently, CRM systems create customer profiles to help with marketing decisions using a combination of demographics and prior behavior, primarily historical buying patterns.

What correlations exist between profile popularity and hair color?

So why is online dating still such a thoroughly imperfect experience? Amy Webb, like so many others, learned just how flawed the science of online dating is by going on a series of comically awkward dates with some pretty unbelievable characters. In her book, Data, A Love Story: Set up a profile, upload a few photos that happen to be sitting on your hard drive, and fill out some personal info. The difference, of course, is that dating sites have an objective far more specific than an aimless timesuck like Facebook.

Webb kicked off her digital quest for a mate by listing 72 traits she wanted her future partner to possess, which is how she recommends online dating newbies get started.

Why Data Mining Is the Next Frontier for Social Media Marketing

The areas covered by the licenses are in the districts of southern, north east, south east, Ngamiland, Kweneng, Kgalagadi, Gantsi and central. It is just over six years since the government evicted more than Bushmen from the reserve, although it has always denied any connection between mining and the evictions. The Bushmen won the right to return to their land inside the reserve in a landmark ruling at Botswana’s High Court in , where the judges recognized that the evictions had been ‘unlawful’ and ‘unconstitutional’.

Although the presentation claims the program is run with the assistance of the companies, all those who responded to a Guardian request for comment on Thursday denied knowledge of any such program.

There are, however, other predictors that have many more distinct values and can create a much more complex histogram. Consider, for instance, the histogram of ages of the customers in the population. In this case the histogram can be more complex but can also be enlightening. Consider if you found that the histogram of your customer data looked as it does in figure 1. This summary can quickly show important information about the database such as that blue eyes are the most frequent.

By looking at this second histogram the viewer is in many ways looking at all of the data in the database for a particular predictor or data column. By looking at this histogram it is also possible to build an intuition about other important factors. Such as the average age of the population, the maximum and minimum age.

All of which are important. These values are called summary statistics. Some of the most frequently used summary statistics include: Max – the maximum value for a given predictor.

Oxford Study: Political Data Mining Companies are Manipulating Elections Around the World

Along with the transition to an app-based world comes the exponential growth of data. However, most of the data is unstructured and hence it takes a process and method to extract useful information from the data and transform it into understandable and usable form. This is where data mining comes into picture. Plenty of tools are available for data mining tasks using artificial intelligence, machine learning and other techniques to extract data.

Here are six powerful open source data mining tools available:

In I started teaching a “Math4Parents” class for the elementary school parents.

History of genetic problems? Cancer, heart disease, you name it, down to the most rare and, and most unexpected maladies. How do they determine that? Well, based on a series of other data points they bought and sold. What clubs you may be frequenting what bars and restaurants you’re making purchases at, what other products you may be buying online.

And all of this can end up in a file somewhere that’s being sold maybe to a prospective employer.

How Companies Are Using Your Social Media Data

January 30, There are 54 million single people in the U. As a result, about 20 percent of current romantic relationships turn out to have started online. Today, Peng Xia at the University of Massachusetts Lowell and a few pals publish the results of their analysis of the behavior of , people on an online dating site.

Their conclusions are fascinating.

That’s where data mining comes in.

That is generally because it is less than they would like you to believe. Professors lie through their teeth about the salaries offered to their graduates. The higher the claim starting salary, the greater the number of new students they can attract. Reporters focus on high salaries and wages because the fashion-story right now is that there is a shortage of mining graduates and because it is easier to write about success than to write about true averages.

These three personal opinion-observations are prompted by the following report from a Spokane newspaper. I repeat the report in its entirety. Then I repeat comments on mining salaries from a colleague who does not believe the report. Graduates in the field are facing lucrative opportunities as they enter the job market, thanks to record metals and oil prices. The average pay for a petroleum geologist with two years experience or less has risen about 60 percent in the past eight years.

Some students may get signing bonuses. I’ve never seen this before in my career.

NSA Prism program taps in to user data of Apple, Google and others

The Block Reward Bitcoin mining is the process of adding transaction records to Bitcoin’s public ledger of past transactions or blockchain. This ledger of past transactions is called the block chain as it is a chain of blocks. The block chain serves to confirm transactions to the rest of the network as having taken place. Bitcoin nodes use the block chain to distinguish legitimate Bitcoin transactions from attempts to re-spend coins that have already been spent elsewhere.

What is Bitcoin Mining? Bitcoin mining is intentionally designed to be resource-intensive and difficult so that the number of blocks found each day by miners remains steady.

And remember, all this data does not have to reside in one physical location; as the net grows, information of this type becomes more available to more people.

Welcome to Jason Frand’s Homepage September 1, was the start of an entirely new career for me. Retiring in meant it was thirty years since completing my doctorate and having lived an incredible career at UCLA involving the future: That career was my trip to the moon! Now I’m on a trip to Mars! Retiring I turned my time and energy toward doing something I really enjoy doing: As a bonus, I was invited to write a book about how to teach math problem solving.

My on-going life as a husband, father, grandfather and community member Travels with Lois and Jason catalogs many of the wonderful travel adventures we’ve shared together since our honeymoon camping trip across the US. The poem The Owl’s Answer in many ways summarizes my views toward life, and learning as the greatest journey which we can experience.

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