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Category: Data Mining

Download PDF by Matthew A. Russell: Mining the Social Web: Data Mining Facebook, Twitter,

By Matthew A. Russell

ISBN-10: 1449367615

ISBN-13: 9781449367619

How are you able to faucet into the wealth of social net facts to find who’s making connections with whom, what they’re speaking approximately, and the place they’re positioned? With this increased and carefully revised variation, you’ll the way to collect, research, and summarize information from all corners of the social net, together with fb, Twitter, LinkedIn, Google+, GitHub, electronic mail, web content, and blogs.

• hire the normal Language Toolkit, NetworkX, and different medical computing instruments to mine renowned social sites
• observe complicated text-mining concepts, reminiscent of clustering and TF-IDF, to extract which means from human language information
• Bootstrap curiosity graphs from GitHub by way of gaining knowledge of affinities between humans, programming languages, and coding tasks
• construct interactive visualizations with D3.js, a very versatile HTML5 and JavaScript toolkit
• make the most of greater than two-dozen Twitter recipes, provided in O’Reilly’s renowned "problem/solution/discussion" cookbook structure

the instance code for this particular info technology ebook is maintained in a public GitHub repository. It’s designed to be simply available via a turnkey digital computing device that enables interactive studying with an easy-to-use number of IPython Notebooks.

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Subrata Das's Computational Business Analytics PDF

By Subrata Das

ISBN-10: 1439890706

ISBN-13: 9781439890707

ISBN-10: 1439890730

ISBN-13: 9781439890738

Learn the way to competently Use the newest Analytics methods on your Organization

Computational enterprise Analytics provides instruments and strategies for descriptive, predictive, and prescriptive analytics appropriate throughout a number of domain names. via many examples and hard case stories from various fields, practitioners simply see the connections to their very own difficulties and will then formulate their very own resolution strategies.

The publication first covers center descriptive and inferential facts for analytics. the writer then complements numerical statistical strategies with symbolic man made intelligence (AI) and computer studying (ML) suggestions for richer predictive and prescriptive analytics. With a distinct emphasis on equipment that deal with time and textual info, the text:

  • Enriches crucial part and issue analyses with subspace equipment, akin to latent semantic analyses
  • Combines regression analyses with probabilistic graphical modeling, equivalent to Bayesian networks
  • Extends autoregression and survival research options with the Kalman clear out, hidden Markov types, and dynamic Bayesian networks
  • Embeds selection timber inside effect diagrams
  • Augments nearest-neighbor and k-means clustering recommendations with aid vector machines and neural networks

These techniques usually are not replacements of conventional statistics-based analytics; relatively, typically, a generalized method should be lowered to the underlying conventional base approach less than very restrictive stipulations. The publication exhibits how those enriched concepts provide effective recommendations in components, together with buyer segmentation, churn prediction, credits chance evaluate, fraud detection, and ads campaigns.

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Download e-book for iPad: Algorithmic Learning Theory: 18th International Conference, by Marcus Hutter

By Marcus Hutter

ISBN-10: 3540752242

ISBN-13: 9783540752240

This quantity includes the papers provided on the 18th foreign Conf- ence on Algorithmic studying conception (ALT 2007), which was once held in Sendai (Japan) in the course of October 1–4, 2007. the most aim of the convention used to be to supply an interdisciplinary discussion board for fine quality talks with a powerful theore- cal heritage and scienti?c interchange in components reminiscent of question types, online studying, inductive inference, algorithmic forecasting, boosting, aid vector machines, kernel equipment, complexity and studying, reinforcement studying, - supervised studying and grammatical inference. The convention used to be co-located with the 10th foreign convention on Discovery technology (DS 2007). This quantity contains 25 technical contributions that have been chosen from 50 submissions by means of the ProgramCommittee. It additionally comprises descriptions of the ?ve invited talks of ALT and DS; longer types of the DS papers come in the court cases of DS 2007. those invited talks have been awarded to the viewers of either meetings in joint sessions.

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Igor Kononenko, Matjaz Kukar's Machine Learning and Data Mining PDF

By Igor Kononenko, Matjaz Kukar

ISBN-10: 1904275214

ISBN-13: 9781904275213

Info mining is usually said via real-time clients and software program options companies as wisdom discovery in databases (KDD). strong facts mining perform for company intelligence (the artwork of turning uncooked software program into significant info) is confirmed via the various new suggestions and advancements within the conversion of unpolluted medical discovery into generally obtainable software program recommendations. This e-book has been written as an creation to the most matters linked to the fundamentals of computing device studying and the algorithms utilized in info mining. compatible for complicated undergraduates and their tutors at postgraduate point in a large zone of desktop technology and expertise themes in addition to researchers trying to adapt quite a few algorithms for specific information mining projects. A necessary addition to the libraries and bookshelves of the various businesses who're utilizing the foundations of information mining (or KDD) to successfully bring strong company and options.

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Data Mining for Social Robotics: Toward Autonomously Social by Yasser Mohammad, Toyoaki Nishida PDF

By Yasser Mohammad, Toyoaki Nishida

ISBN-10: 3319252305

ISBN-13: 9783319252308

ISBN-10: 3319252321

ISBN-13: 9783319252322

This ebook explores an method of social robotics established completely on independent unsupervised strategies and positions it inside a established exposition of similar study in psychology, neuroscience, HRI, and knowledge mining. The authors current an self reliant and developmental process that enables the robotic to profit interactive habit via imitating people utilizing algorithms from time-series research and laptop studying.

The first half offers a finished and established creation to time-series research, switch aspect discovery, motif discovery and causality research targeting attainable applicability to HRI difficulties. targeted factors of all of the algorithms concerned are supplied with open-source implementations in MATLAB allowing the reader to test with them. Imitation and simulation are the major applied sciences used to achieve social habit autonomously within the proposed strategy. half supplies the reader a large evaluation of analysis in those parts in psychology, and ethology. in line with this historical past, the authors talk about techniques to endow robots having the ability to autonomously easy methods to be social.

Data Mining for Social Robots might be crucial examining for graduate scholars and practitioners drawn to social and developmental robotics.

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Big Data of Complex Networks - download pdf or read online

By Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, Visit Amazon's Andreas Holzinger Page, search results, Learn about Author Central, Andreas Holzinger,

Enormous facts of advanced Networks provides and explains the tools from the research of huge information that may be utilized in analysing vast structural information units, together with either very huge networks and units of graphs. in addition to utilising statistical research strategies like sampling and bootstrapping in an interdisciplinary demeanour to provide novel recommendations for reading monstrous quantities of knowledge, this e-book additionally explores the chances provided by means of the exact facets reminiscent of laptop reminiscence in investigating huge units of complicated networks. meant for desktop scientists, statisticians and mathematicians drawn to the large info and networks, great info of advanced Networks is additionally a precious instrument for researchers within the fields of visualization, info research, laptop imaginative and prescient and bioinformatics.

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Download e-book for iPad: Introduction to Privacy-Preserving Data Publishing: Concepts by Benjamin C.M. Fung

By Benjamin C.M. Fung

ISBN-10: 1420091484

ISBN-13: 9781420091489

Getting access to fine quality information is a crucial necessity in knowledge-based choice making. yet information in its uncooked shape usually comprises delicate information regarding members. supplying ideas to this challenge, the tools and instruments of privacy-preserving information publishing allow the book of invaluable details whereas conserving facts privateness. creation to Privacy-Preserving facts Publishing: recommendations and methods offers cutting-edge details sharing and information integration equipment that bear in mind privateness and knowledge mining standards. the 1st a part of the publication discusses the basics of the sphere. within the moment half, the authors current anonymization equipment for retaining info application for particular facts mining initiatives. The 3rd half examines the privateness concerns, privateness versions, and anonymization equipment for lifelike and tough information publishing situations. whereas the 1st 3 components specialize in anonymizing relational facts, the final half experiences the privateness threats, privateness types, and anonymization equipment for complicated information, together with transaction, trajectory, social community, and textual facts. This publication not just explores privateness and data application concerns but additionally potency and scalability demanding situations. in lots of chapters, the authors spotlight effective and scalable equipment and supply an analytical dialogue to match the strengths and weaknesses of alternative strategies.

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Valeri Mladenov, Chrisina Jayne, Lazaros Iliadis's Engineering Applications of Neural Networks: 15th PDF

By Valeri Mladenov, Chrisina Jayne, Lazaros Iliadis

ISBN-10: 3319110705

ISBN-13: 9783319110707

ISBN-10: 3319110713

ISBN-13: 9783319110714

This quantity constitutes the refereed complaints of the fifteenth foreign convention on Engineering functions of Neural Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014. The 18 revised complete papers provided including five brief papers have been conscientiously reviewed and chosen from 37 submissions. The papers show quite a few functions of neural networks and different computational intelligence ways to demanding difficulties proper to society and the economic system. those contain components comparable to: environmental engineering, facial features popularity, class with parallelization algorithms, keep watch over of independent unmanned aerial automobiles, clever shipping, flood forecasting, type of scientific pictures, renewable power platforms, intrusion detection, fault type and normal engineering.

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Get Machine Learning and Knowledge Discovery in Databases: PDF

By Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo

ISBN-10: 3662448505

ISBN-13: 9783662448502

ISBN-10: 3662448513

ISBN-13: 9783662448519

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed lawsuits of the eu convention on laptop studying and data Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The one hundred fifteen revised study papers offered including thirteen demo tune papers, 10 nectar music papers, eight PhD music papers, and nine invited talks have been conscientiously reviewed and chosen from 550 submissions. The papers conceal the newest top of the range interdisciplinary study leads to all parts regarding desktop studying and data discovery in databases.

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