Cultural Insights - Geert Hofstede. GDELT: Global Database of Events, Language, and Tone. YAGO - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames.
Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.YAGO combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes.YAGO is an ontology that is anchored in time and space. YAGO is developed jointly with the DBWeb group at Télécom ParisTech University. Word2vec - Tool for computing continuous distributed representations of words.
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words.
These representations can be subsequently used in many natural language processing applications and for further research. The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications. A simple way to investigate the learned representations is to find the closest words for a user-specified word. Freebase. Freebase is a large collaborative knowledge base consisting of metadata composed mainly by its community members.
It is an online collection of structured data harvested from many sources, including individual 'wiki' contributions. Freebase aims to create a global resource which allows people (and machines) to access common information more effectively. It was developed by the American software company Metaweb and has been running publicly since March 2007. Metaweb was acquired by Google in a private sale announced July 16, 2010. Google's Knowledge Graph is powered in part by Freebase. Applying Graph Theory and Network Science. Data-gov Wiki. Catalog. The Socrata Open Data API (SODA) allows software developers to access data hosted in Socrata data sites programmatically.
Developers can create applications that use the SODA APIs to visualize and “mash-up” Socrata datasets in new and exciting ways. Create an iPhone application that visualizes government spending in your area, a web application that allows citizens to look up potential government benefits they'd overlooked, or a service that automatically emails you when new earmarks are added to bills that you wish to track. To start accessing this dataset programmatically, use the API endpoint provided below. For more information and examples on how to use the Socrata Open Data API, reference our Developer Documentation. API Access Endpoint: Column IDs: Type type Domain domain Name name Description description Category category Keywords keywords Rating rating. Home. Orange – Data Mining Fruitful & Fun.
5 of the Best Free and Open Source Data Mining Software. The process of extracting patterns from data is called data mining.
It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: * Classification - the task of generalizing familiar structure to employ to new data* Clustering - the task of finding groups and structures in the data that are in some way or another the same, without using noted structures in the data.* Association rule learning - Looks for relationships between variables.* Regression - Aims to find a function that models the data with the slightest error.
Data science. Data Science Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
Data Science need not be always for big data, however, the fact that data is scaling up makes big data an important aspect of data science. A practitioner of data science is called a data scientist. Data scientists solve complex data problems through employing deep expertise in some scientific discipline. Good data scientists are able to apply their skills to achieve a broad spectrum of end results.
History On 10 November 1998, C.F. SciPy - Machine learning in Python — scikit-learn 0.13.1 documentation. "We use scikit-learn to support leading-edge basic research [...]
" "I think it's the most well-designed ML package I've seen so far. " Weka 3 - Data Mining with Open Source Machine Learning Software in Java. Weka is a collection of machine learning algorithms for data mining tasks.
The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this.
Weka is open source software issued under the GNU General Public License. Machine Learning Repository: Covertype Data Set. Source: Original Owners of Database: Remote Sensing and GIS Program Department of Forest Sciences College of Natural Resources Colorado State University Fort Collins, CO 80523 (contact Jock A.
Blackard, jblackard '@' fs.fed.us or Dr. Denis J. Dean, denis.dean '@' utdallas.edu)