Exam Board: Edexcel Level: AS and A level Subject: Psychology First teaching: September 2015 First exams: June 2017 (2016 for AS) This Student Book + ActiveBook covers both the Edexcel AS and A level Psychology courses from 2015 and will help you to: develop greater confidence in the practical application of relevant psychology and mathematical skills (for example data handling, analysis and application) through the use of in-depth explanations and worked examples understand the requirements of assessment through dedicated Exam Preparation content which reflects the linear nature of the new qualification develop the knowledge and skills that will be required in Higher Education through a focus on further research, independent enquiry and extended writing think more like a psychologist, making links between themes within the book and exploring the synoptic nature of the course through the new 'Thinking Bigger' and 'Wider Issues and Debates' features. The ActiveBook gives you easy online access to the textbook content so you don't have to carry the book to and from school or college. You can make it your own with notes, highlights and links to wider reading - perfect for supporting coursework and revision activities.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems
Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains.

Learn from Real Case Studies of Contrast Mining Applications
In this volume, researchers from around the world specializing in architecture engineering, bioinformatics, computer science, medicine, and systems engineering focus on the mining and use of contrast patterns. They demonstrate many useful and powerful capabilities of a variety of contrast mining techniques and algorithms, including tree-based structures, zero-suppressed binary decision diagrams, data cube representations, and clustering algorithms. They also examine how contrast mining is used in leukemia characterization, discriminative gene transfer and microarray analysis, computational toxicology, spatial and image data classification, voting analysis, heart disease prediction, crime analysis, understanding customer behavior, genetic algorithms, and network security.

This anthology presents translations of thirty songs about Ilya Muromets, Dobrynya, Sadko, and other legendary characters of Russian folklore.

An extensive introduction provides basic background about Russian epics, their poetics, the history of their collection, their performance context, and their main interpretations. In addition, there is a short introduction to each song, explaining its plot, allusions, and interpretations. A glossary of common terms and a selected bibliography of studies about the Russian epic in English and Russian are also included in the volume.

An extensive introduction provides basic information about Russian epics, their historical background, their poetics, the history of their collection, their performance context, and their main interpretations. In addition, their is a short introduction to each song, explaining its plot, allusions, and interpretations. A glossary of common terms and a selected bibliography of studies about the Russian epic in English and Russian are also included in the volume.

The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.

The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.

This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.

WISE 2008 was held in Auckland, New Zealand, during September 1-3, at The Auckland University ofTechnology City Campus Conference Centre. The aim of this conferencewasto providean internationalforum for researchers, professi- als, and industrial practitioners to share their knowledge in the rapidly growing area of Web technologies, methodologies, and applications. Previous WISE c- ferences wereheld in Hong Kong, China (2000), Kyoto, Japan (2001), Singapore (2002), Rome, Italy (2003), Brisbane, Australia (2004), New York, USA (2005), Wuhan, China (2006) and Nancy, France (2007). The call for papers created considerable interest. Around 110 paper s- missions were received and the international Program Committee selected 31 papers out of the 110 submissions (an acceptance rate of 28. 2%). Of these, 17 papers were chosen for standard presentation and the remaining 14 papers for short presentation. The authors of the accepted papers range across 13 co- tries: Australia, China, Germany, Greece, Italy, Japan, Korea, New Zealand, Poland, Singapore, Spain, Switzerland and the USA. The technical track of the WISE 2008 program o?ered nine paper presentation sessions. The selected - pers covered a wide and important variety of issues in Web information systems engineering such as querying; search; ranking; trust; peer-to-peer networks; - formation ?ltering; information integration; agents and mining. A few selected papers from WISE 2008 will be published in a special issue of the World Wide Web Journal, bySpringer. Inaddition, a $1000prizewasawardedto the authors ofthepaperselectedforthe"YahikoKambayashiBestPaperAward. "Wethank all authors who submitted their papers and the Program Committee members andexternalreviewersfor their excellent work.

Philip James Bailey's Festus was an artistic sensation in the Victorian period, a best-seller across the Anglophone world and broadly influential on other writers. This edition marks the first time it has been published in over 100 years, featuring the poem's first lineation and a contextualization of its scientific and theological imagery. Scholars and students will benefit from a general introduction to Bailey's life and work with a thematic guide to the poem that made him famous and appendices containing illustrations from period lithography.

This book presents a detailed critical analysis of a period of significant formal and thematic innovation in Muriel Spark's literary career. Spanning the mid-1950s to the mid-1970s, it identifies formative instances of literary experimentation in texts including The Comforters, The Driver's Seat and The Public Image, with an emphasis on metafiction and the influence of the nouveau roman. As the first critical study to draw extensively on Spark's vast archives of correspondence, manuscripts and research, it provides a unique insight into the social contexts and personal concerns that dictated her fiction.

This book presents a detailed critical analysis of a period of significant formal and thematic innovation in Muriel Spark's literary career. Spanning the mid-1950s to the mid-1970s, it identifies formative instances of literary experimentation in texts including The Comforters, The Driver's Seat and The Public Image, with an emphasis on metafiction and the influence of the nouveau roman. As the first critical study to draw extensively on Spark's vast archives of correspondence, manuscripts and research, it provides a unique insight into the social contexts and personal concerns that dictated her fiction.

This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing.

First scholarly edition of Philip James Bailey's epic masterpiece in a readable, modern volume Offers a general introduction to Bailey's life and work with a thematic guide to the poem that made him famous Includes a range of critical responses from British and American press Philip James Bailey's Festus was an artistic sensation in the Victorian period, a best-seller across the Anglophone world and broadly influential on other writers. This edition marks the first time it has been published in over 100 years, featuring the poem's first lineation and a contextualization of its scientific and theological imagery. Scholars and students will benefit from a general introduction to Bailey's life and work with a thematic guide to the poem that made him famous and appendices containing illustrations from period lithography.

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.