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StatSoft
StatSoft is the original developer of Statistica. Dell acquired it in March 2014. Statistica is an analytics software portfolio that provides enterprise software, enterprise and desktop software for statistics, data analysis, data management, data visualization, data mining, which is also called predictive analytics, and quality control. Company history StatSoft Inc. was established in 1984 as a partnership of a group of university professors and scientists. Its first products had menu-driven libraries of flexible statistical procedures and ran on microcomputer platforms such as Apple II, CP/M, Commodore International, Commodore, and MS-DOS. With the release of Statistica 9 in May 2009, both 32-bit and 64-bit native versions became available. Its current product suite, Statistica 12, was released in May 2013. Statistica is used worldwide at major corporations, government agencies, and universities. On March 24, 2014, StatSoft was mergers and acquisitions, acquired by Dell in an ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Paul Lewicki
Paul (Pawel) Lewicki is a Cognitive science, cognitive scientist, an Entrepreneurship, entrepreneur, and investor. He was a professor of cognitive psychology at the University of Tulsa from 1984 through 2009, where he established the Nonconscious Information Processing Laboratory, funded by NSF and NIH. After leaving the University in 2009,Evatt, RoberStatSoft helps others find patterns within data Tulsa World (accessed August 14, 2011) he assumed the full-time role of CEO of StatSoft,BloombergCompany Overview of StatSoft, Inc.(accessed November 10, 2012 a multinational analytics software company that he founded and where he was a majority shareholder. On March 24, 2014, StatSoft was sold to Dell.Dell Press Release March 24, 2014Dell Acquires StatSoft to Bolster Portfolio of Big Data Solutions (accessed March 24, 2014 Research in cognitive psychology Lewicki is best known for his research on nonconscious information processing and self-perpetuation, where he demonstrated that pr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistica
Statistica is an advanced analytics software package originally developed by StatSoft and currently maintained by TIBCO Software Inc. Statistica provides data analysis, data management, statistics, data mining, machine learning, text analytics and data visualization procedures. Overview Statistica is a suite of analytics software products and solutions originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques. Additional techniques are available through integration with the free, open source R programming environment. Different packages of analytical techniques are available in six product lines. History Statistica originally derives from a set of software packages and add-ons that were initially developed during the mid-1980s by StatSoft. Following the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dell Software
Dell Software was a division of Dell with headquarters in Round Rock, Texas, United States. Dell Software was created merging various acquisitions (mainly Quest Software and Sonicwall) by Dell Inc., the third-largest maker of PCs and now a privately held company, to build out its software offerings for data center and cloud management, information management, mobile workforce management, security and data protection for organizations of all sizes. History Dell Inc. formed the Dell Software group in February 2012, after a series of 37 acquisitions strengthened the company’s focus on software and services. The new group helped unify the acquisitions, which included the following companies, among others: * KACE Networks, specializing in computer appliances for IT systems management and software for security, application virtualization and systems management products. KACE specialize in software inventory and distribution, operating system deployment, and mobile device managem ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dell, Inc
Dell is an American based technology company. It develops, sells, repairs, and supports computers and related products and services. Dell is owned by its parent company, Dell Technologies. Dell sells personal computers (PCs), servers, data storage devices, network switches, software, computer peripherals, HDTVs, cameras, printers, and electronics built by other manufacturers. The company is known for how it manages its supply chain and electronic commerce. This includes Dell selling directly to customers and delivering PCs that the customer wants. Dell was a pure hardware vendor until 2009 when it acquired Perot Systems. Dell then entered the market for IT services. The company has expanded storage and networking systems. It is now expanding from offering computers only to delivering a range of technology for enterprise customers. Dell is a publicly-traded company (), as well as a component of the NASDAQ-100 and S&P 500. It is the 3rd largest personal computer vendor as of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dell
Dell is an American based technology company. It develops, sells, repairs, and supports computers and related products and services. Dell is owned by its parent company, Dell Technologies. Dell sells personal computers (PCs), servers, data storage devices, network switches, software, computer peripherals, HDTVs, cameras, printers, and electronics built by other manufacturers. The company is known for how it manages its supply chain and electronic commerce. This includes Dell selling directly to customers and delivering PCs that the customer wants. Dell was a pure hardware vendor until 2009 when it acquired Perot Systems. Dell then entered the market for IT services. The company has expanded storage and networking systems. It is now expanding from offering computers only to delivering a range of technology for enterprise customers. Dell is a publicly-traded company (), as well as a component of the NASDAQ-100 and S&P 500. It is the 3rd largest personal computer vendor as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Companies Based In Oklahoma
Software is a set of computer programs and associated documentation and data. This is in contrast to hardware, from which the system is built and which actually performs the work. At the lowest programming level, executable code consists of machine language instructions supported by an individual processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). Machine language consists of groups of binary values signifying processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction may also invoke one of many input or output operations, for example displaying some text on a computer screen; causing state changes which should be visible to the user. The processor executes the instructions in the order they are provided, unless it is instructed to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Companies Established In 1984
Software is a set of computer programs and associated documentation and data. This is in contrast to hardware, from which the system is built and which actually performs the work. At the lowest programming level, executable code consists of machine language instructions supported by an individual processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). Machine language consists of groups of binary values signifying processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction may also invoke one of many input or output operations, for example displaying some text on a computer screen; causing state changes which should be visible to the user. The processor executes the instructions in the order they are provided, unless it is instructed ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Warehouses
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the DW for reporting. Extract, transform, load (ETL) and extract, load, transform (ELT) are the two main approaches used to build a data warehouse system. ETL-based data warehousing The typical extract, transform, load (ETL)-based data warehouse uses staging, data integration, and access layers ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Random Forest
Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the mean or average prediction of the individual trees is returned. Random decision forests correct for decision trees' habit of overfitting to their training set. Random forests generally outperform decision trees, but their accuracy is lower than gradient boosted trees. However, data characteristics can affect their performance. The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the random subspace method, which, in Ho's formulation, is a way to implement the "stochastic discrimination" approach to classification proposed by Eugene Kleinberg. An extension of the algorithm was developed by Leo Breiman and Adele Cutler, who reg ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Generalized Additive Model
In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth functions of some predictor variables, and interest focuses on inference about these smooth functions. GAMs were originally developed by Trevor Hastie and Robert Tibshirani to blend properties of generalized linear models with additive models. They can be interpreted as the discriminative generalization of the naive Bayes generative model. The model relates a univariate response variable, ''Y'', to some predictor variables, ''x''''i''. An exponential family distribution is specified for Y (for example normal, binomial or Poisson distributions) along with a link function ''g'' (for example the identity or log functions) relating the expected value of ''Y'' to the predictor variables via a structure such as : g(\operatorname(Y))=\beta_0 + f_1(x_1) + f_2(x_2)+ \cdots + f_m(x_m).\,\! The functions ''f''''i'' may be functions with a s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
K-means Clustering
''k''-means clustering is a method of vector quantization, originally from signal processing, that aims to partition ''n'' observations into ''k'' clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells. ''k''-means clustering minimizes within-cluster variances (squared Euclidean distances), but not regular Euclidean distances, which would be the more difficult Weber problem: the mean optimizes squared errors, whereas only the geometric median minimizes Euclidean distances. For instance, better Euclidean solutions can be found using k-medians and k-medoids. The problem is computationally difficult (NP-hard); however, efficient heuristic algorithms converge quickly to a local optimum. These are usually similar to the expectation-maximization algorithm for mixtures of Gaussian distributions via an iterative refine ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Support Vector Machine
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories by Vladimir Vapnik with colleagues (Boser et al., 1992, Guyon et al., 1993, Cortes and Vapnik, 1995, Vapnik et al., 1997) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974). Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non- probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). SVM maps training examples to points in space so as to maximise the width of the gap between the two categories. New ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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