GanttProject: free desktop project management tool. About | Piggydb. Piggydb is a flexible and scalable knowledge building platform that supports a heuristic or bottom-up approach to discover new concepts or ideas based on your input. You can begin with using it as a flexible outliner, diary or notebook, and as your database grows, Piggydb helps you to shape or elaborate your own knowledge. Soon, it will become an indispensable knowledge base to your creative work. ;-) With Piggydb, you can create highly structured content by connecting knowledge fragments to each other to build a network structure, which is more flexible and expressive than a tree structure.
Fragments can also be classified using hierarchical tags. Piggydb does not aim to be a remember-everything-type-of-database application. How Piggydb Works 1. 2. Fragment Relationships: Tags: 3. Demo Piggydb Documents (view-only demo)Sand box(editable demo) You can login with the guest account (guest/guest).The owner-only features are disabled.The database might be cleared without a notice. Like this: The Qualitative Report - Mobile and Cloud Qualitative Research Apps. IMARS: IBM Multimedia Analysis and Retrieval System. IMARS is a desktop system for automatic indexing, classification, and searching of large collections of digital images and videos. IBM Multimedia Analysis and Retrieval System (IMARS) is a powerful system that can be used to automatically index, classify, and search large collections of digital images and videos.
IMARS works by applying computer-based algorithms that analyze visual features of the images and videos, and subsequently allows them to be automatically organized and searched based on their visual content. In addition to search and browse features, IMARS also: Automatically identifies, and optionally removes, exact duplicates from large collections of images and videos Automatically identifies near-duplicates Automatically clusters images into groups of similar images based on visual content Automatically classifies images and videos as belonging or not to a pre-defined set (hereafter called taxonomy) of semantic categories (such as 'Landmark', 'Infant', etc.)
IBM T. J. ResourceOverview. Research | Homepage of Christopher (Chris) Welty. Brief bio: Chris Welty is a Research Scientist at the IBM T.J. Watson Research Center in New York. Previously, he taught Computer Science at Vassar College, taught at and received his Ph.D. from Rensselaer Polytechnice Institute, and accumulated over 14 years of teaching experience before moving to industrial research.
Chris' principal area of research is Knowledge Representation, specifically ontologies and the semantic web, and he spends most of his time applying this technology to Information Retrieval and, in the past, Software Engineering. Dr. Dr. Best Online Collaboration Tools 2012 - Robin Good... How it works. P2P Foundation. StoryKit.
La production de la théorie à partir des données. 1 Ce texte est un extrait du chapitre 2 (Generating Theory) du livre de Barney G. Glaser et d’Anselm (...) 2 Deux ouvrages ont été publiés en 1992 : le premier, Miroirs et masques. Une introduction à l’intera (...) 1On connaît mieux depuis quelques années en France l’importance de l’œuvre d’Anselm Strauss1, surtout grâce au beau travail d’édition accompli par Isabelle Baszanger2. Né en 1916 à New York, Strauss fait ses études de sociologie à l’université de Chicago dans les années quarante : Herbert Blumer et Everett Hugues sont alors ses « héros intellectuels », comme il aime à le rappeler. Il enseigne dans cette université dès 1952 et devient une des figures les plus remarquables, avec Erving Goffman, Howard Becker, Fred Davis et Eliott Freidson, du puissant mouvement de sociologie d’enquête qui se développe dans la postérité de la philosophie pragmatiste et des monographies pionnières de « l’école de Chicago ». 3 B.
La précision de la preuve Généralisations empiriques 7 B. 8 P. 16 H. BayesiaLab 5.1: Analytics, Data Mining, Modeling and Simulation. BayesiaLab raises the benchmark in the field of analytics and data mining. The improvements range from small practical features to entirely new visualization techniques that can transform your understanding of complex problems. Bayesia starts off 2013 with countless innovations in the newly-released BayesiaLab 5.1. Once again, BayesiaLab raises the benchmark in the field of analytics and data mining software. The improvements range from small practical features that make your analysis workflow easier, to entirely new visualization techniques that can transform your understanding of complex problem domains.
Here is a small selection of the features that have been introduced in version 5.1: Visit our BayesiaLab Knowledge Base & Library to learn about all the new features of BayesiaLab 5.1 in great detail:library.bayesia.com/display/WN/BayesiaLab+5.1 And, see all the features in action by downloading a free 30-day evaluation copy of BayesiaLab: bayesia.us/index.php/software/bldownload. Introduction to R for Data Mining.
This on-demand webinar shows how to become immediately productive in R, and covers point-and-click data mining GUI rattle, command line data mining, and Big data mining with RevoScaleR Feb 14, 2013 Webinar, presented by Joseph Rickert, Technical Marketing Manager, Revolution Analytics In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. We will: Provide an orientation to R's data mining resources Show how to use the "point and click" open source data mining GUI, rattle, to perform the basic data mining functions of exploring and visualizing data, building classification models on training data sets, and using these models to classify new data.
Data scientists and analysts using other statistical software as well as students who are new to data mining should come away with a plan for getting started with R. Here is the webinar replay and presentation. SPMF: A Sequential Pattern Mining Framework. Desktop Public Edition. Compare the desktop editions of the Lavastorm Analytics Engine. Please ensure that your PC meets the following minimum requirements and has administrative privileges to your local machine: RAM - 2 GBHDD - Over 1 GBCPU - Dual Core 2 GHz x86 or x64 processor (Intel/AMD)O/S - Microsoft Windows® XP SP 3, Vista, or 7 (32 or 64-bit) Lavastorm Analytics Library Packs – Enhancements for Your Lavastorm Software The Lavastorm Analytics Library contains business controls (we call them nodes) with pre-built functions for Analytics, Data Acquisition, Correlation, Aggregation, Transformation, Reporting, Publishing, Logistics, Profiling and Patterns, Metadata and Structure, and Interfaces and Adapters.
These packs enhance the Lavastorm Analytics Engine with additional business controls. View all nodes and download the pack now. Rapid-I. Make the Best Decisions. AutoHotkey_L. | CommonCrawl. Come si pronuncia quella parola? Facile, te lo dice internet... In Italia - organizzato da docenti universitari - e in molti paesi aumentano i siti che suggeriscono come leggere le parole che l'utente segnala. A partire da quel famoso e impronunciabile vulcano islandese... di VLADIMIRO POLCHI ROMA - "Eyjafjallajökul", ricordate? Quel vulcano islandese non offuscò solo la vista a molti piloti d'aereo, ma inceppò anche la lingua a centinaia di giornalisti tv.
Tutta colpa di quella parola impossibile. Viaggiando in rete ci si imbatte in Pronny, un nuovo strumento che offre in tempo reale la pronuncia corretta (da parte di madrelingua) di parole ed espressioni di rilevanza internazionale. Anche Forvo.com è un sito web che fornisce clip audio di pronuncia in molte lingue diverse. Su forvo.com pronunce diverse, perché i clip audio sono creati dagli stessi utenti, che possono anche votare su ogni clip, positivamente o negativamente, sulla falsa riga di Wikipedia.
Pronny the pronouncer - Pronny gives you the right pronunciation. PronounceItRight.com - Click and listen! Hosain Rahman's beautiful failure. By Alex Konrad with Ryan Bradley FORTUNE -- The bracelet -- a half-inch wide and rubberized -- represented a decade's work, a thing so small and versatile it could both track its wearer's health, then actively work to improve it. In a sense, the UP was meant to become a part of its user's life, a part of his or her story. An example: The UP measures sleep cycles by keeping track of movements throughout the night, then vibrates its wearer awake after he or she has reached just the right amount of deep sleep.
It was the culmination of a nearly decade-long collaboration between Hosain Rahman, co-founder and CEO of Jawbone, and Yves Behar, a gadget designer as famous as Apple's Jonathan Ive. Rahman and Behar had married software and product design to build wearable computing devices before—most successfully with their Bluetooth headsets, the name of which had become synonymous with the company—but never in something quite as ambitious. It was the first week in December 2011.
Computational Culture.
Free Visualization Software | Free Analysis Software | Free Analytics. Chromoscope - View the Universe in different wavelengths. Beautiful web-based timeline software. Summary of strengths and weaknesses of each package in the context of analysing open-ended questions. This section draws some comparisons between the four selected CAQDAS packages as an aid for users who may be considering which program to use for analyzing the responses to open-ended survey questions. There is no question of identifying which package is the ‘best’ because they each have different strengths and weaknesses, which may interact differently with the very wide range of circumstances that may be covered by the description “open-ended survey questions” (OEQs).
In view of the time that it can take to become familiar with a new software program, we would suggest that if you have been using one of these packages already then that would probably be the best one for you to consider first. All four programs have been used successfully with the trial data so there are few critical weaknesses.
The particular packages examined here are ATLAS.ti 6, MAXQDA 2010, NVivo 8, and QDA Miner 3.2. Presentation of the data and ease of reading the texts Use of semi-automation tools Ease of use. Luhmann’s Zettelkasten method | Pile of Index Cards. ANVIL: The Video Annotation Research Tool. [Pundit demo] Authors Index. Pundit: A novel semantic web annotation tool. Tecnologia | Download Area - scarica gratis - Tinderbox 5.7.1. New Ipad, what apps to put on it? Pages: < 1 2 3 4 5 6 > Posted by DataMillDec 12, 2012 at 01:37 PM Outline+ is compatible with OneNote. It can sync notebooks stored in Dropbox.
It’s a bit pricey, though. Posted by jamesoffordDec 12, 2012 at 01:39 PM Okay, I’ll answer my own question-Onenote for iOS is not worthwhile. So, back to the list that I had put together and that people have been posting here. Jim Posted by Stephen ZeoliDec 12, 2012 at 02:44 PM You might take a look at MagicalPad, which allows you to click anywhere in a workspace and start writing notes. It costs $4.99—sort of on the cusp of cheap enough to buy on spec to try out. Steve Z. Posted by MadaboutDanaDec 12, 2012 at 02:57 PM OneNote on iPad is pretty good, actually. OneNote+ is very good indeed, but has a couple of weaknesses: it doesn’t support checkbox lists (unlike Microsoft’s client), and although it allows you to type anywhere on the page, it doesn’t support outlines either (indented lists yes, actual folding outlines no).
The Personal Wiki System. ConnectedText is used in a variety of ways and in many contexts. I am always surprised to hear how other people use it, and the way I use it will probably appear just surprising as their use of the program will be to me. This essay is just my attempt to show how and why I use it for my research. I do not want to suggest that my way is the only or perhaps even the best way of using it.
In other words, this is just a testimony in which I offer some personal reflections on the role ConnectedText plays in my own research, backed up by some reflections on the way this is related to the way in which I and many other scholars have used card indexes and journals during the precious century for keeping or making notes. I would like to show how a program like ConnectedText improves on this approach, and why I consider ConnectedText the best among such programs. Agenda seemed like the ideal solution for some time, but, being stuck in DOS, it was severely limited.
Guida EndNote Web. Università degli Studi di Pavia. Sistema bibliotecario d'Ateneo. Tel. 0382.98.6923 Indice 1. 1.1 Cos'è EndNote Web1.2 Creare un proprio profilo2. 1. 1.1 Cos'è EndNote Web EndNote Web è un programma che permette di gestire bibliografie personali importando fino a 10.000 citazioni bibliografiche dai risultati delle ricerche effettuate nelle basi dati e nei cataloghi on-line. 1.2 Creare un proprio profilo L'accesso a EndNote Web è disponibile all'indirizzo www.myendnoteweb.com oppure dalla base dati Web of Knowledge (WOK), attraverso il bottone in alto My EndNote Web.
[Indice] 2. 2.1 Importare citazioni da WOK Effettuata una ricerca su Web of knowledge (WOK) o Web of science (WOS), è possibile selezionare i risultati di proprio interesse e cliccare sul bottone Save to EndNote Web. Se è già stato effettuato l'accesso a EndNote Web le citazioni vengono inviate direttamente, altrimenti il programma chiede di autenticarsi per poter effettuare l'operazione. 2.2 Organizzare le citazioni importate 3. Ulysses Help. Processing Qualitative Research Data With Tinderbox. I wrote a while back that I often use a piece of software for the Mac called Tinderbox to churn through messy, unstructured focus group data and see the meaning and inherent structure in a soup of qualitative data.
I was fortunate to be asked to present my method at a Tinderbox Weekend last November by Tinderbox auteur Mark Bernstein. It's a complicated process at the start, but once it's set up correctly you can zip through qualitative research data pretty quickly and develop structure in the process. Tinderbox is great for this because, unlike a traditional outliner, you don't have to impose that structure at the beginning of the process, and you don't have to find a single "box" to put information in. Qualitative data is messy, because people are messy--they don't all fit into single boxes either. Mark (and Eastgate's Stacy Mason) have been noodging me to make a screencast of this process, and I've finally gotten around to doing just that.