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Minimization, Denial, and Victim Blaming by Batterers: How ...

Data to support this latter opinion remain limited, however, and the few studies that are available have produced mixed findings. In this study, measures of minimization, denial, attributions, and socially desirable responding were collected from a large sample of convicted DV offenders (N = 2,824).

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Legislative prediction with dual uncertainty minimization ...

The full text of this article hosted at iucr.org is unavailable due to technical difficulties. Original Article. Legislative prediction with dual uncertainty minimization from heterogeneous information. Yu Cheng. Corresponding Author. E-mail address: ... bill text and lawmakers' profile data, to carry out effective legislative prediction. ...

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doi.acm.org

Since 2000, Baidu has set its mission as providing the best way for people to find what they're looking for. Today, the company has become the world's largest Chinese search engin

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Data Mining Applications with R | ScienceDirect

Text mining techniques offer a reliable and efficient way to quantify many aspects of digital libraries, as well as methods to cluster and regroup digital content in relation to topical content. This chapter will discuss text preparation techniques in R, the use of the latent Dirichlet allocation to classify content, and the analysis of text ...

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Sihem Amer-Yahia - Google Scholar Citations

This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. Upload PDF. PDF Restore Delete Forever. Follow this author. ... flexible structure and full-text querying for XML.

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Big Data and discrimination: perils, promises and ...

Oct 01, 2018· Big Data analytics such as credit scoring and predictive analytics offer numerous opportunities but also raise considerable concerns, among which the most pressing is the risk of discrimination. Although this issue has been examined before, a comprehensive study on this topic is still lacking. This literature review aims to identify studies on Big Data in relation to discrimination in order …

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Conceptual biology, hypothesis discovery, and text mining ...

Innovative biomedical librarians and information specialists who want to expand their roles as expert searchers need to know about profound changes in biology and parallel trends in text mining. In recent years, conceptual biology has emerged as a complement to empirical biology. This is partly in response to the availability of massive digital resources such as the network of databases for ...

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Text Analysis with SAP HANA | SAP Blogs

Apr 08, 2014· The primary function of full-text search is to optimize linguistic searches. Full text search is designed to perform linguistic (language-based) searches against text and documents stored in your database. In a full-text search, the search engine examines all of the words in every stored document as it tries to match search criteria (text ...

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[1703.00512] PMLB: A Large Benchmark Suite for Machine ...

Mar 01, 2017· Abstract: The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world and simulated benchmark datasets have emerged from different sources, but their organization and adoption as standards have been inconsistent.

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Accurate prediction of major ... - BioData Mining

Nov 04, 2014· The major histocompatibility complex (MHC) is responsible for presenting antigens (epitopes) on the surface of antigen-presenting cells (APCs). When pathogen-derived epitopes are presented by MHC class II on an surface, T cells may be able to trigger an specific immune response. Prediction of MHC-II epitopes is particularly challenging because the open binding cleft of …

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Logic minimization and rule extraction ... - BioData Mining

Aug 16, 2012· Logic minimization is the application of algebraic axioms to a binary dataset with the purpose of reducing the number of digital variables and/or rules needed to express it. Although logic minimization techniques have been applied to bioinformatics datasets before, they have not been used in classification and rule discovery problems. In this paper, we propose a method based on logic ...

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Text Mining and Analysis - SAS Support

From Text Mining and Analysis. Full book available for purchase here. vi ... (or “text data mining”). Text mining can be best conceptualized as a subset of text analytics that is focused on applying data mining techniques in the domain of textual information using NLP and machine learning. Text mining considers only syntax (the study of ...

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Jonathan Gootenberg - MIT McGovern Institute

Mining Biology Jonathan Gootenberg draws from fundamental microbiology to engineer new molecular tools, which he applies to the study of aging. These tools, including the popular genome editing system CRISPR, allow for unprecedented manipulation and profiling of cellular states in the body, and have multiple applications in basic science, diagnostics, and therapeutics.

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(PDF) Logic minimization and rule extraction for ...

Download full-text PDF Download full-text PDF. Logic minimization and rule extraction for identification of functional sites in molecular sequences. ... Cruz-Cano et al. BioData Mining 2012, ...

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Low-rank matrix completion using alternating minimization

In this paper we present one of the first theoretical analyses of the performance of alternating minimization for matrix completion, and the related problem of matrix sensing. For both these problems, celebrated recent results have shown that they become well-posed and tractable once certain (now standard) conditions are imposed on the problem.

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Mining large corpora for social information: The case of ...

Mining large corpora for social information: The case of elderly - Volume 36 Issue 1 - GERLINDE MAUTNER ... agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. ... Full text views reflects the number of PDF downloads, PDFs ...

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Environmental Impacts at Fort Belknap from Gold Mining - SERC

Jul 10, 2019· Environmental Impacts at Fort Belknap from Gold Mining. ... Progress toward Pollution Prevention and Waste Minimization in the North American Gold Mining Industry. ... (Full Text Online) Characterization and Availability of Cyanide in Solid Mine Tailings from Gold Extraction Plants..

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How to get started with knowledge mining (preview) - Azure ...

Knowledge store saves AI-enriched documents created during indexing to your Azure storage account for downstream knowledge mining in other apps. You can also use saved enrichments to understand and refine an Azure Search indexing pipeline. A knowledge store is defined by a skillset and created by an indexer.The physical expression of a knowledge store is specified through projections that ...

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Minimization of Harmonic Distortion of Industrial Motor ...

filters ensure effective minimization of Total Harmonic Distortion (THD). Therefore, many applications currently in use can replace the common line reactors with an advanced active power filters if the cost performance balance leans to a positive investment. V. HARMONIC PROFILE WITHOUT FILTER 4.1.1 Suction-couch drive .

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Mining, analyzing, and integrating viral signals from ...

Mar 19, 2019· Viruses are important components of microbial communities modulating community structure and function; however, only a couple of tools are currently available for phage identification and analysis from metagenomic sequencing data. Here we employed the random forest algorithm to develop VirMiner, a web-based phage contig prediction tool especially sensitive for high-abundances phage …

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SAP HANA Text Mining | SAP Blogs

Text mining benefits information determined by text analysis which is pre-requisite for text mining. As mentioned in earlier blog Text analysis does linguistic analysis and extracts information embedded within a document while Text mining makes semantic determinations about overall content of a document relative to other documents.

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Energies | Free Full-Text | Minimization of Losses in ...

This article deals with the influence of distributed generation (DG) on distribution line losses with respect to voltage profile. The article focuses on the development of a control strategy to minimize the grid losses and assure fairness regarding reactive power contributions. As retail customers typically have no choice where they are located along a feeder, it seems unfair that only some of ...

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Text categorization - slideshare.net

Aug 03, 2015· Text Filtering Text filtering activity can be seen as document sorting with only two bins – the “relevant” and “irrelevant” documents. Examples: A sports related online magazine should filter out all non-sport stories it receives from the news feed. An e-mail client should filter away spam.

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Optimization in Data Mining - University of Wisconsin ...

Data clustering as a concave minimization problem ... clustering in the full dimensional space. Basic Idea Based on nondifferentiable optimization theory, make a simple but fundamental modification in the second step of the k-median algorithm ... Optimization in Data Mining

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Accurate prediction of major histocompatibility complex ...

Download full-text PDF. Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via l1-minimization. ... Aguilar-Bona vides et al. BioData Mining 2014, 7 ...

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Text and data mining, University of Sydney Library

Data mining is the process of applying open-ended computational methods to large scale datasets to discover new insights that may not be revealed through targeted smaller scale analyses. When the datasets used are bodies of text, this process is often termed text mining and can provide a complementary approach to traditional close readings of ...

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Stochastic Divergence Minimization for Online Collapsed ...

Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation ... OCR errors may be found in this Reference List extracted from the full text article. ... We study the problem of approximating the 3-profile of a large graph. 3-profiles are generalizations of triangle counts that specify ...

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SME P.E. Review Course

SME PE Review Course. Dr. Ramani has directed over 100 graduate students from 25 countries for graduate degrees, published over 200 research papers, co-authored an authoritative text on mine ventilation and air-conditioning, and contributed to 25 books, handbooks and encyclopedias.

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Omar Abudayyeh - MIT McGovern Institute

Mining Bacteria for Tools Omar Abudayyeh works on novel genome editing and gene delivery tools, and applying these tools towards the study of aging. While CRISPR is perhaps best known as a DNA editing tool, Abudayyeh’s team has discovered new CRISPR enzymes, such as the RNA-targeting CRISPR-Cas13, and adapted these enzymes for novel technologies, such […]

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Heavy-metal Pollution in the Sudbury Mining and Smelting ...

Heavy-metal Pollution in the Sudbury Mining and Smelting Region of Canada, I. Soil and Vegetation Contamination by Nickel, Copper, and Other Metals - Volume 1 Issue 2 - T. C. Hutchinson, L. M. Whitby

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