Data Mining

  • Most Topular Stories

  • Similarities and Differences Between Predictive Analytics and Business Intelligence

    Data Mining and Predictive Analytics
    24 Jul 2014 | 10:56 pm
    I’ve been reminded recently of the overlap between business intelligence and predictive analytics. Of course any reader of this blog (or at least the title of the blog) knows I live in the world of data mining (DM) and predictive analytics (PA), not the world of business intelligence (BI). In general, I don’t make comments about BI because I am an outsider looking in. Nevertheless, I view BI as a sibling to PA because we share so much in common: we use the same data, often use similar metrics and even sometimes use the same tools in our analyses. I was interviewed by Victoria Garment of…
  • Twitter is Still the Best Water Cooler Ever for Brands

    Data mining News
    27 Jul 2014 | 11:31 pm
    … 's Advanced Search for data mining and response. "How can …
  • Bing hearts World Cup 2014, Google - not so much

    Data Mining: Text Mining, Visualization and Social Media
    Matthew Hurst
    12 Jul 2014 | 12:19 pm
    While Google has been doing a great job of their front page animations (today's is very nice, illustrating how Brazil and The Netherlands are on their way to Russia for 2018), Bing appears to be far more attentive to actually answering questions about the competition. For example: Compared to Bing's Google's answer brings up some interesting news articles, but Bing brings up stats on the teams and even a prediction of who will win (Cortana - which is driving these predictions - has been doing a perfect job of predicting game outcomes).
  • HP invests in Hortonworks' Hadoop

    Computerworld BI and Analytics News
    24 Jul 2014 | 10:16 am
    Hewlett-Packard is betting $50 million that its customers will find value in the Hadoop data processing platform by investing in Hadoop distributor Hortonworks.
  • Statshot: SUVs, HIV and Must-See TV

    The Numbers
    David Goldenberg
    25 Jul 2014 | 11:56 am
    Sport utility vehicles and crossovers have become the most popular car body type in America. New HIV diagnoses have dropped more than 30% in the U.S. since 2002. Over the past few years, several television dramas have cracked a rating of 9 on IMDb’s crowdsourced rating scale—none of them on network TV.
 
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    Data Mining: Text Mining, Visualization and Social Media

  • Bing hearts World Cup 2014, Google - not so much

    Matthew Hurst
    12 Jul 2014 | 12:19 pm
    While Google has been doing a great job of their front page animations (today's is very nice, illustrating how Brazil and The Netherlands are on their way to Russia for 2018), Bing appears to be far more attentive to actually answering questions about the competition. For example: Compared to Bing's Google's answer brings up some interesting news articles, but Bing brings up stats on the teams and even a prediction of who will win (Cortana - which is driving these predictions - has been doing a perfect job of predicting game outcomes).
  • GrubHub's Phasmid Websites

    Matthew Hurst
    3 May 2014 | 9:49 pm
    The rationale behind mining business data directly from the business's own website is that the business has a clear economic motivation to ensure that the data is up to date. If you own a restaurant that changes location, and your website still publishes the former address, those potential customers who visit your site will not be enjoying your delicious offerings. For the web mining proposition to work, it is important to firstly know that you have in your hand a genuine business website and secondly, to have excellent extraction and inference technology to pull the required…
  • Hopper - new in the travel space

    Matthew Hurst
    19 Jan 2014 | 11:24 am
    Briefly - Hopper is something new in the travel  / local space. In their own words: What if you could plan an amazing trip based on a vague idea — like “spring surfing in California” or “Mediterranean cruise”? What if logistical information popped up right when you needed it, so you wouldn't have to spend hours on research? This is our vision: to make planning a trip an effortless extension of discovering and exploring new places. We spent several years experimenting with different tools, technology and algorithms to collect, organize and manage massive amounts of…
  • FitBit: A great product with an even better website

    Matthew Hurst
    29 Dec 2013 | 10:36 am
    Briefly - Wakako gave me (actually us) a FitBit for Christmas. This is a great product if you are (like me) motivated by data to take action. While I appreciate the device design (small but functional), I really like the thought that has gone in to the data presentation in the dashboard. The displays of the key variables are clean and yet subtle enough to reward interaction by revealing additional dimensions.
  • Review: Information is Beautiful by David McCandless

    Matthew Hurst
    28 Dec 2013 | 5:23 pm
    Information is Beautiful is a thought provoking labour of love by one of the first true data journalists, David McCandless. It is a simply structured collection of graphical interpretations of a variety of interesting statistics, factoids and opinions. It is compelling in its ability to provoke exclamations of surprise at the relationships between facts (e.g. the financial crisis costing us almost four times more than the expected total cost of the west's adventurism in Iraq and Afghanistan) as well as generating respect for the creativity and design that has gone in to presenting the…
 
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    The Numbers

  • Statshot: SUVs, HIV and Must-See TV

    David Goldenberg
    25 Jul 2014 | 11:56 am
    Sport utility vehicles and crossovers have become the most popular car body type in America. New HIV diagnoses have dropped more than 30% in the U.S. since 2002. Over the past few years, several television dramas have cracked a rating of 9 on IMDb’s crowdsourced rating scale—none of them on network TV.
  • Americans’ Immigration Concerns Jump, as Economic Worries Decline

    Trevor Anderson
    25 Jul 2014 | 7:40 am
    As attention increasingly shifts toward undocumented immigrants crossing into the U.S. and political pressure mounts for the federal government to stabilize the U.S.-Mexico border, nearly one in six Americans named immigration the country’s biggest problem in a recent Gallup poll.
  • Who Owns What in Organic Packaged Foods

    Rani Molla
    25 Jul 2014 | 6:13 am
    The consolidation of the food industry spares no quarter, including brands that are known for their small size and independence. Large food-processing companies are buying up organic brands, as the market for products made without synthetic pesticides and fertilizers continues to grow.
  • $2.4 Billion, 29 Million Cars: The Numbers Behind GM’s Year of Recalls

    Joseph B. White
    24 Jul 2014 | 1:14 pm
    GM's latest financial report breaks down the cost of the company's embarrassing string of recalls this year, with almost $700 million spend on the ignition switch problem alone.
  • Standards are Tighter, Sure. But is It Really That Hard to Get A Mortgage?

    Nick Timiraos
    24 Jul 2014 | 7:12 am
    It has become a common refrain: “It’s too hard to get a mortgage.” But is it true?
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    Data Mining and Predictive Analytics

  • Similarities and Differences Between Predictive Analytics and Business Intelligence

    24 Jul 2014 | 10:56 pm
    I’ve been reminded recently of the overlap between business intelligence and predictive analytics. Of course any reader of this blog (or at least the title of the blog) knows I live in the world of data mining (DM) and predictive analytics (PA), not the world of business intelligence (BI). In general, I don’t make comments about BI because I am an outsider looking in. Nevertheless, I view BI as a sibling to PA because we share so much in common: we use the same data, often use similar metrics and even sometimes use the same tools in our analyses. I was interviewed by Victoria Garment of…
  • Why Overfitting is More Dangerous than Just Poor Accuracy, Part II

    26 May 2014 | 9:07 am
    In Part I, I explained one problem with overfitting the data: estimates of the target variable in regions without any training data can be unstable, whether those regions require the model to interpolate or extrapolate. Accuracy is a problem, but more precisely, the problems in interpolation and extrapolation are not revealed using any accuracy metrics and only arise when new data points are encountered after the model is deployed.This month, a second problem with overfitting is described: unreliable model interpretation. Predictive modeling algorithms find variables that associate or…
  • Why Overfitting is More Dangerous than Just Poor Accuracy, Part I

    1 May 2014 | 1:20 pm
    Arguably, the most important safeguard in building predictive models is complexity regularization to avoid overfitting the data. When models are overfit, their accuracy is lower on new data that wasn’t seen during training, and therefore when these models are deployed, they will disappoint, sometimes even leading decision makers to believe that predictive modeling “doesn’t work”. Overfit, however, is thankfully a well-known problem and every algorithm has ways to avoid it. CART® and C5 trees use pruning to remove branches that are prone to overfitting, CHAID trees require splits are…
  • Data Science and Big Data Search Trends

    16 Jan 2014 | 7:20 am
    These are from google trends.Data science is growing, but still way behind other traditional terms for our field such as data mining, predictive analytics and machine learning. Big data on the other hand is growing rapidly and outpacing other fields.This page for now is just an FYI that I may refer to in today's DM Radio show, "Blinded by Data Science"  (http://bit.ly/KfK74l ). I hope to turn it into a more cogent blog post soon (but no promises!)“data science”“data science” vs. “data mining”“data science vs. predictive analytics”“data science” vs. “machine…
  • Speaking Engagements First Quarter 2014

    9 Jan 2014 | 8:37 am
    I'll be speaking at several events this quarter1) EITA Global Webinar:  Key Steps in Starting Your First Predictive Analytics ProjectTuesday, January 14, 2014, 1:00 PM ESTThis 90 minute webinar will walk through a predictive analytics project from start to finish using the CRISP-DM process model, includingData Needed for Predictive ModelingData PreparationTop Modeling Algorithms: Decision Tree, Neural Networks, Regression, ClustereingHow to Assess ModelsModel DeploymentWebinar cost: for viewing the webinar live, the cost is $239. There are volume discounts available.2) Quebit Webinar:…
 
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    natural language processing blog

  • Hello, World!

    27 Jul 2014 | 7:18 am
    Okay, usually Hello World is the first program you learn to write in a new programming language. For fun, I've been collecting how to say hello world in different human languages, something remarkably difficult to search for (because of the overloading of the word "language"). I have 28. I'd like to make it to 280 :). If you have one (or more) to contribute, email me, post a comment, or tweet to me @haldaume3. And of course if you think any of these is wrong, please let me know that too. 1 bar Servus Woid! 2 ca Hola Món! 3 de Hallo Welt! 4 en Hello World! 5 eo Saluton, Mondo! 6 es ¡Hola…
  • My ACL 2014 picks...

    5 Jul 2014 | 9:22 am
    Usual caveats: didn't see all papers, blah blah blah. Also look for #acl14nlp on twitter -- lots of papers were mentioned there too!A Tabular Method for Dynamic Oracles in Transition-Based Parsing; Yoav Goldberg, Francesco Sartorio, Giorgio Satta.Jaokim Nivre, Ryan McDonald and I tried searnifying MaltParser back in 2007 and never got it to work. Perhaps this is because we didn't have dynamic oracles and we thought that a silly approximate oracle would be good enough. Guess not. Yoav, Francesco and Giorgio have a nice technique for efficiently computing the best possible-to-achieve dependency…
  • Divergences passed through Bayes' rule

    30 Jun 2014 | 8:30 am
    In a previous post's comments, we talked about Bayes rule and things like that. This got me wondering about the following question:If we know p(A) and p(B|A), we can reconstruct p(A|B) perfectly by Bayes' rule. What if we only have estimates of p(A) and p(B|A)? How does the quality of the reconstruction of p(A|B) vary as a function of the quality of the estimates of the marginal and conditional?I feel like there have to be results along these lines, but I was unable to find them. My next attempt was to prove something, which failed miserably after a few hours.  So, as a good empiricist…
  • Role models

    2 Jun 2014 | 10:52 am
    During grad school, my advisor suggested I identify a recent grad who has been, to me, successful. I could then use him or her as a guide. I picked someone (he now knows who he is), and the exercise was useful: there are lots of ways to be successful in research land, and this helped me focus.RST-relation=Topic-Shift.I'm fairly serious about yoga. I've had a lot of instructors over the years and noticed a high correlation between InstructorILike and InstructorWhoIsMale. Initially I believed this was because male instructors pushed more, and that worked for me. Over time I realized that was…
  • Past tense is not past tense

    30 May 2014 | 12:31 pm
    I took part in a wonderful Dagstuhl workshop this past February on translating morphologically rich languages. (Yeah, I also don't really know why I was invited :P.) But many thanks to Alex, Kevin, Philipp, Helmut and Hans for inviting me. I had a realization during this workshop that I thought I'd share. It's obvious in retrospect, and perhaps in front-spect for many of you. Much of this came up in the discussion with Bonnie Webber, Marion Weller, Martin Volk, Marine Carpuat, Jörg Tiedemann and Maja Popovic, and Maja deserves much credit for her awesome error analysis tool that helped shed…
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    Kevin Hillstrom: MineThatData

  • What Has Changed Since "Hillstrom's Personas"?

    Kevin Hillstrom
    27 Jul 2014 | 8:15 pm
    Oh boy!One of the primary reasons for releasing "Hillstrom's Personas" (click here) was because of the dramatic changes I was seeing in customer behavior, courtesy of the Multichannel Forensics framework.In the framework, it was becoming apparent that customers were no longer switching channels (i.e., to e-commerce). There was a large group of shoppers who simply liked shopping via old-school techniques (continuity programs, mailing a check along with an order form, purchasing via the telephone). These customers, it appeared, were "opting-out" of e-commerce.Similarly, on the other end of the…
  • What Has Changed Since "Hillstrom's Catalog Marketing PhD"?

    Kevin Hillstrom
    24 Jul 2014 | 8:15 pm
    This booklet came out at exactly the right time in history ... 2010, coming out of the Great Recession.Catalogers were busy finding ways to trim expenses. The key methodology in the book (click here), called the "organic percentage", would finally answer a question that nagged our industry for a decade ... "why, if matchbacks prove that catalogs drive online traffic, are catalog businesses not growing?"The organic percentage was derived from mail/holdout tests. Repeatedly, I noticed that when catalogs were not mailed to online buyers, half or more of the demand still happened. And in a retail…
  • What Has Changed Since "Hillstrom's Multichannel Forensics"?

    Kevin Hillstrom
    23 Jul 2014 | 8:15 pm
    This $95 ditty was written in the 2006, published in late 2007 (click here).This was the peak of the "multi-channel" movement, a movement symbolized by the phrase "multichannel customers are more valuable than single channel customers". The logic still lingers today, in spite of having been debunked more times than can be reasonably counted.I got a reasonable amount of feedback from the book. The feedback came in three large buckets.You must be really arrogant to charge $95 for a book. It's obvious you don't know the first thing about book publishing.I'd love to try the methodologies in the…
  • What Has Changed Since "Hillstrom's Database Marketing"?

    Kevin Hillstrom
    22 Jul 2014 | 8:15 pm
    We're going to take a few days, and talk about how times have changed, through the eyes of books and booklets.This book was first, folks (click here). It took about six months to write the thing. Don Libey graciously published the book.The book was essentially a retrospective of the work I'd done in my last year at Lands' End, and covered a ton of the work I'd done at Eddie Bauer. To promote the book, I started a blog, a place where I'd write on a daily basis. In March of 2006, the first post was published. I was thrilled, months later, when a post would go viral and I'd see ten or fifteen…
  • Forrester Research Annual Report

    Kevin Hillstrom
    21 Jul 2014 | 8:15 pm
    If you're going to read retail annual reports, then you should read research brand annual reports as well. Click here to take a peek at the Forrester Research 2013 Annual Report (or click here).A few tidbits for you.Client retention dropped from 80% in 2011 to 77% in 2012 to 73% in 2013. Net income is at a five year low.Cash is at a five year low.It costs Forrester $39 to produce $100 of services.It costs Forrester $36 to sell and market products and services. Is your ad-to-sales ratio 36%? It's really tough to generate profit at a 36% ad-to-sales ratio.Pre-tax profit dropped from…
 
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    TIBCO Spotfire's Trends and Outliers

  • Big Data to Avoid a Crisis

    Spotfire Blogging Team
    24 Jul 2014 | 5:55 am
    Many companies are laser-focused on how big data can boost their efforts to more effectively market their products and services and meet the needs of customers. But few are focusing on mining the deluge of data inside and outside their networks to predict and avoid various crises. That’s the assertion of PricewaterhouseCoopers in a new series of videos. “Regulators are increasingly using social media to investigate certain industries,” notes Sanjay Subramanian, PwC principal, in one video. “Litigators are increasingly using social media to investigate certain industries. The very…
  • Data Visualization for Better Boardroom Communication

    Spotfire Blogging Team
    23 Jul 2014 | 5:55 am
    There are multiple factors that can impact revenue and earnings growth, including changes in the cost of goods, product demand, and variable and fixed business costs. While these factors might be apparent to business leaders who track them day in and day out, it can be challenging to communicate the trends that are shaping a business to board members simply by using static bar charts, Gantt charts, and scatter plots. For example, envision an electronic retailer’s board meeting in which the head of distribution is sharing quarterly distribution costs. Bar charts show how the rising price of…
  • How Big Data and Analytics Can Reshape Healthcare

    Spotfire Blogging Team
    22 Jul 2014 | 5:55 am
    The U.S. healthcare system continues to undergo dramatic changes when it comes to how consumers can obtain insurance as well as the growing role of individuals in plotting their own treatments. Big data is expected to play an increasingly significant role in treatment analysis as well as enable healthcare insurers to cater to individual consumers. For instance, the use of analytics can help healthcare providers and payers better predict who needs care and when, according to an article in The Washington Post. “The same way that shopping Web sites can predict what you want to buy, healthcare…
  • Using Analytics to Prioritize Spending on Cybersecurity

    Spotfire Blogging Team
    21 Jul 2014 | 5:55 am
    Spending on cybersecurity is expected to rise this year as a growing number of organizations shift spending from defensive-minded approaches to detection and mitigation of cyberattacks and data breaches. Nearly 70 percent of CIOs expect security spending to represent one of the top segments to gain share of overall IT spending as “security continues to take dollars from other categories,” according to survey of 101 CIOs conducted by UBS AG. The Wall St. Journal reports that the perception among CIOs about security has changed over the last 12 to 18 months as corporate have…
  • Why Big Data is the New Black in Entertainment

    Spotfire Blogging Team
    17 Jul 2014 | 5:55 am
    Programs such as “Orange is the New Black” and “House of Cards” from Netflix have come together in large part because of the media company’s data-driven understanding of its viewers and its ability to determine the type of content they want. Netflix and other broadcasters are increasingly relying on big data and analytics to strengthen their programming development to ensure they’re creating the right content, and using the actors, writers, and directors to win large audiences. For its part, Netflix is making a major push into European markets through 2014.
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    PolicyMap

  • Exploring Foreclosure data in Chicago

    Adam Kurstin
    23 Jul 2014 | 9:08 am
    Chicago’s Englewood neighborhood has been struggling with depopulation, violent crime, and a host of other urban ailments for decades.  This summer, the City of Chicago is attempting to implement an intriguing new strategy to stem these long trends towards neglect by leveraging one of the neighborhood’s most valuable assets, homeowners.  Chicago plans to sell city owned properties for $1 to local homeowners who already have a stake in their communities. Homeowners who live in the community would presumably be willing to invest their money and efforts to improve their neighborhood.  The…
  • PolicyMap Named Data Wizards/Ninjas/Unicorns/Whatevs by Wonkblog!

    Bernie Langer
    21 Jul 2014 | 12:07 pm
    It was a Friday afternoon like any other, until #NameThatData came along. Christopher Ingraham at The Washington Posts’s Wonkblog posted a map of the United States with data, without saying what the data was. The contest was to see who could correctly name the data on the map. Spoiler alert: We won. When we saw the contest, we sprung into action. How could we not? We started with some quick guesses. The dense arc through the south suggested African American population. But then what’s going on in New England? Could be obesity. But then Colorado should look better. Interestingly, our…
  • Map NSP Target Areas On PolicyMap

    Katie Nelson
    21 Jul 2014 | 6:20 am
    The Neighborhood Stabilization Program (NSP) is a federal program that provides assistance to state and local governments to acquire and redevelop foreclosed and abandoned properties that might otherwise become sources of blight to their communities. As a part of the program, grantees picked target areas in which to focus their efforts. The criteria for identifying target areas were very specific and many grantees turned to PolicyMap for the data to complete their applications. NSP-approved target areas for communities throughout the country are now available on PolicyMap. This update may be…
  • Mapping SBA-Approved Microlenders

    Morgan Robinson
    17 Jul 2014 | 6:28 am
    Microlending is the practice of providing small loans to low-income people to start small businesses. Grameen Bank, founded in Bangladesh in 1983, was a pioneer in microfinance, generally providing small loans to the rural poor. While the practice has become extremely popular globally, microfinance has only recently joined the arsenal of financing options for small business owners and would-be entrepreneurs in the U.S. Microlending in the United States got an official boost in 2009, with the passage of American Recovery and Reinvestment Act. Through ARRA, the Small Business Administration…
  • 2014 CRA Eligibility Status Updated on PMap!

    Kristin Crandall
    16 Jul 2014 | 5:51 am
    The Community Reinvestment Act (CRA) was passed by Congress in 1977 to encourage banks to extend credit to low- and moderate-income Americans. The Act was a response to redlining, a common practice involving systematically denying credit or increasing the costs of banking services to communities based on income, race or other discrimination. CRA requires that financial institutions undergo periodic evaluations to determine whether they are meeting the credit needs of the communities in which they operate, including low- and moderate-income neighborhoods. Tracts are CRA eligible if they are…
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    Revolutions

  • Because it's Friday: Make me fries

    David Smith
    25 Jul 2014 | 2:30 pm
    Pearl Jam has been featuring in my playlist recently, which reminded me of this old Misheard Lyrics video for Yellow Ledbetter: The funny think is, I don't think Yellow Ledbetter has official lyrics, so these might be as good as any. I've seen it performed a few times on stage, and each time the lyrics are different. Not as wildly divergent as these, but still: variations each time. (If anyone does know what the actual lyrics are, please point me to the source!) That's all for this week. See you Monday!
  • Learning from alternative R engines at DSC 2014

    David Smith
    25 Jul 2014 | 10:53 am
    I was honoured to be invited earlier this month to the Directions of Statistical Computing meeting in Brixen, Italy. DSC is one of two meetings run by the R Project and unlike the useR! conference, DSC is a much smaller and intimate meeting (DSC 2014 had about 30 participants). If you haven't come across DSC meeting before (quite possible, given that it had last been held in 2009), R Core Group member Martyn Plummer has a nice overview of DSC. A focus of the first day of the conference was on the performance of R computation engine. The organizers invited representatives from all of the…
  • July 29: Applications in R Webinar

    David Smith
    25 Jul 2014 | 9:12 am
    [Reposting to update with the new date for the webinar: Tuesday July 29.] Just a quick heads-up that I'll be presenting with Neera Talbert (VP Professional Services, Revolution Analytics) in a free webinar on Tuesday, July 29 on Applications in R: Success and Lessons Learned from the Marketplace. I'll describe several R applications from well-known companies (some of which can be seen in the presentation I gave at the China R User Conference), and Neera will present a few case studies of how the Revolution Analytics consulting group has helped companies using R in areas such supply…
  • Agent Based Models and RNetLogo

    Joseph Rickert
    24 Jul 2014 | 8:30 am
    by Joseph Rickert If I had to pick just one application to be the “killer app” for the digital computer I would probably choose Agent Based Modeling (ABM). Imagine creating a world populated with hundreds, or even thousands of agents, interacting with each other and with the environment according to their own simple rules. What kinds of patterns and behaviors would emerge if you just let the simulation run? Could you guess a set of rules that would mimic some part of the real world? This dream is probably much older than the digital computer, but according to Jan Thiele’s brief account…
  • magrittr: Simplifying R code with pipes

    David Smith
    23 Jul 2014 | 3:09 pm
    R is a functional language, which means that your code often contains a lot of parentheses . And complex code often means nesting those parentheses together, which make code hard to read and understand. But there's a very handy R package — magrittr, by Stefan Milton Bache — which lets you transform nested function calls into a simple pipeline of operations that's easier to write and understand. Hadley Wickham's dplyr package benefits from the %>% pipeline operator provided by magrittr. Hadley showed at useR! 2014 an example of a data transformation operation using…
 
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    iTrend Blog

  • 5 new Bitcoin facts that may surprise you

    Michael Alatortsev
    10 Jul 2014 | 10:50 am
    1. Russia had previously declared Bitcoin illegal.  It has just recently softened its stance, and, judging from the prevalence of Russian language tweets in our Bitcoin data sets, the Russians are now all over the cryptocurrency.  Based on volume alone, they are now dominating #bitcoin social media conversations.   2. new cryptocurrencies are continuing to emerge; latest example is Latium - claiming to be the fist and only cryptocurrency network (no mining required). 3. Dogecoin is dead.  Wow, really. 4. Snoop Dogg‘s comment about Bitcoin remains the highest retweeted comment…
  • sneak preview of iTrend 2.0 #analytics – new UI, new insights

    iTrend LLC
    8 Jul 2014 | 9:26 am
    We are testing the latest version of our social analytics platform. It offers tons of new functionality: multi-language support, with ability to split social data by language global maps, with several different views improved filtering brand-new NLP capabilities (the system can understand what people are talking about) additional ways to combine social with other data sources Plus, it is: super fast more affordable than Salesforce Marketing Cloud, Sysomos, etc more flexible than any leading tool customizable (talk to us about your specific requirements today) If you are interested in…
  • Comprehensive analysis of 273,000 #AmazonCart tweets

    iTrend LLC
    23 May 2014 | 8:43 am
    May 28 2014 update: 273,000 tweets were analyzed. Updated Top Selling items are shown below. Please note: we can only track products being added to cart, we don’t have access to actual checkout transactions (unless people choose to share their purchase on Twitter upon checkout – which some do).  Not all ‘sales’ mentioned below have been taken through checkout process.   Top #AmazonCart sellers, by number of items sold: Top #AmazonCart sellers, by total sales value:   We posted some preliminary data when the new feature went live on May 5 2014.  Two weeks…
  • iTrend Build 1984 Release Notes

    iTrend LLC
    15 May 2014 | 8:14 am
    You may have noticed the new build number at the bottom of iTrend’s login page.  We’ve been implementing a number of enhancements based on feedback from our TechCrunch Disrupt NY 2014 presentations.   What’s new in version 1984: improved algorithm for fetching and displaying ‘Software” clients, you will see more product icons FIXED width display bug in two types of reports: ‘Retweets’ and ‘Tweets’ improved PDF exporting/print capabilities in qualifying subscription plans improved display/refresh UX in ‘Conversations’…
  • demonstrating iTrend at TechCrunch Disrupt NY 2014

    iTrend LLC
    12 May 2014 | 7:19 am
    iTrend Cinevent Interview – thanks to Stephanie Pelletier at SPELLNET for putting this together. Some highlights from Day 1:  
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