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1. |
Record Nr. |
UNINA9910777923103321 |
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Titolo |
The art of solution focused therapy [[electronic resource] /] / [edited by] Elliott Connie, Linda Metcalf |
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Pubbl/distr/stampa |
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New York, : Springer, c2009 |
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ISBN |
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1-282-25956-3 |
9786612259562 |
0-8261-1738-4 |
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Descrizione fisica |
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1 online resource (328 p.) |
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Altri autori (Persone) |
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MetcalfLinda |
ConnieElliott |
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Disciplina |
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Soggetti |
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Solution-focused therapy |
Psychotherapy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Contributors; Preface; Acknowledgments; 1 Overview of Solution Focused Therapy; 2 Solution Focused Therapy: Its Applications and Opportunities; 3 A Solution Focused Journey; 4 Respectful Optimism and Satisfying Subtlety; 5 Working in the Dark; 6 The Three-Hour "A-ha" Moment; 7 This Is Me; 8 Monty Python-Focused Therapy; 9 Acceptance, Transparency, Research: Because the Others Want to Know; 10 The Evidence Base of SFT; 11 Learning With Enthusiasm; 12 My Encounter With the Solution Focused Therapy Model; 13 Learning to Pay Attention; 14 Believing With a Curious Mind |
15 Trust Client Strengths16 A Journey Toward Solutions; 17 Using Possibilities to Remove the Box; 18 Go Where the Clients Lead; 19 Becoming a Solution Focused Purist; 20 Conclusion; Recommended Reading List; Index |
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Sommario/riassunto |
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What is Solution-Focused Therapy?. Solution Focused Therapy (SFT) is a unique, goal-directed therapy aimed at helping clients regain autonomy by determining and achieving their own goals. Solution focused therapists encourage clients to focus on solutions, not problems, and help clients effectively plan how to reach their goals. |
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Unlike other therapies, SFT holds an abiding belief in clients' abilities to know what is best for them, rather than have a therapist tell them. Why this book?. This book not only provides an overview of the Solution Focused therapy model, its basic tenets, and theorie |
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2. |
Record Nr. |
UNINA9910254991003321 |
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Autore |
Furht Borko |
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Titolo |
Big Data Technologies and Applications / / by Borko Furht, Flavio Villanustre |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (xviii, 400 p.) : ill |
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Disciplina |
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Soggetti |
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Computers |
Software engineering |
Computer science—Mathematics |
Computer science - Mathematics |
Information Systems and Communication Service |
Software Engineering |
Mathematical Applications in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster. |
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Sommario/riassunto |
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The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors. . |
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