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Advanced Data Mining And Applications

Author : Longbing Cao
ISBN : 9783642173165
Genre : Computers
File Size : 50. 66 MB
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With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.

Advances In Knowledge Discovery And Data Mining

Author : Thanaruk Theeramunkong
ISBN : 9783642013065
Genre : Computers
File Size : 61. 58 MB
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ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandData Mining hasbeen held every year from 1997. PAKDD 2009, the 13th in the series, was held in Bangkok, Thailand during April 27-30, 2008. PAKDD is a major inter- tional conference in the areas of data mining (DM) and knowledge discovery in database (KDD). It provides an international forum for researchers and ind- try practitioners to share their new ideas, original research results and prac- cal development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acqui- tion and automatic scienti?c discovery, data visualization, causal induction and knowledge-based systems. ForPAKDD2009,wereceived338researchpapersfromvariouscountriesand regions in Asia, Australia, North America, South America, Europe, and Africa. Every submission was rigorously reviewed by at least three reviewers with a doubleblindprotocol.Theinitialresultswerediscussedamongthereviewersand ?nally judged by the ProgramCommittee Chairs. When there was a con?ict, an additionalreviewwasprovidedbytheProgramCommitteeChairs.TheProgram Committee members were deeply involved in the highly selective process. As a result, only 39 papers (approximately 11.5% of the 338 submitted papers) were accepted as regular papers, 73 papers (21.6% of them) were accepted as short papers.

Web Technologies And Applications

Author : Cai Ruichu
ISBN : 9783319281216
Genre : Computers
File Size : 88. 86 MB
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This book constitutes the refereed proceedings of the workshops held at the 17th Asia-Pacific Web Conference, APWeb 2015, in Guangzhou, China, in September 2015. The 15 full papers were carefully reviewed and selected from various submissions. The volume presents the papers that have been accepted for the following workshops: Big Data Applications in Telecoms, BDAT 2015, Big Social Data, BSD 2015, and Web Data Mining and Applications, WDMA 2015. The papers cover various issues in the area of the World Wide Web with the underlying technologies and applications.

Web Data Mining

Author : Bing Liu
ISBN : 3642194605
Genre : Computers
File Size : 27. 97 MB
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Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Database And Expert Systems Applications

Author : Djamal Benslimane
ISBN : 9783319644714
Genre : Computers
File Size : 32. 49 MB
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This two volume set LNCS 10438 and LNCS 10439 constitutes the refereed proceedings of the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, August 2017. The 37 revised full papers presented together with 40 short papers were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse; Data Mining and Machine Learning; Recommender Systems and Query Recommendation; Graph Algorithms; Semantic Clustering and Data Classific ation.

Advances In Knowledge Discovery And Data Mining

Author : Zhi-Hua Zhou
ISBN : 9783540717010
Genre : Computers
File Size : 82. 24 MB
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This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.

Emerging Technologies In Data Mining And Information Security

Author : Ajith Abraham
ISBN : 9789811314988
Genre : Technology & Engineering
File Size : 76. 44 MB
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The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Advances In Artificial Intelligence

Author : Grigoris Antoniou
ISBN : 9783540341178
Genre : Computers
File Size : 87. 19 MB
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This book constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions address many areas of artificial intelligence; particular fields of interest include: logic programming, knowledge-based systems, intelligent information retrieval, machine learning, neural nets, genetic algorithms, and more.

Cognitive Informatics And Soft Computing

Author : Pradeep Kumar Mallick
ISBN : 9789811514517
Genre : Technology & Engineering
File Size : 39. 3 MB
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The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory, and Software Engineering.

Proceedings Of The Annual International Acmsigir Conference On Research And Development In Information Retrieval

Author :
ISBN : UOM:39015058741136
Genre : Database management
File Size : 61. 43 MB
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Social Implications Of Data Mining And Information Privacy

Author : Ephrem Eyob
ISBN : UOM:39015079149152
Genre : Computers
File Size : 51. 26 MB
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Examines emerging issues and solutions in data mining and the influence of political and socioeconomic factors. Also covers problems with applicable laws governing such issues.

Sentiment Analysis And Opinion Mining

Author : Bing Liu
ISBN : 9781608458844
Genre : Language Arts & Disciplines
File Size : 70. 87 MB
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Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis.Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations.This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online.Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography

Security Inference From Noisy Data

Author : Li Zhuang
ISBN : UCAL:C3544564
Genre :
File Size : 67. 17 MB
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My thesis is that contemporary information systems allow automatic extraction of security-related information from large amounts of noisy data. Extracting this information is the security inference problem: attackers or defenders extract information from noisy data that helps to compromise an adversary's security goals. I believe security inference is an important problem. Security inference often reveals a large amount of sensitive information that may be useful either to attackers or to system administrators. Attackers can use security inference to extract private information; system administrators can use security inference to determine the nature of attackers. Security inference is often a challenging problem because of the size and noisy nature of many real-world datasets. Our solution is to apply statistical analysis to this problem. We present two case studies that extract meaningful security knowledge from noisy data using statistical analysis. One goal is to explore selection of proper statistical analysis tools for security inference. The two case studies use a diverse set of statistical methods, which we believe to be applicable to other settings. We also propose a general framework for modeling security inference problems, which identifies key steps in the security inference process. In the first case study, we examine the problem of keyboard acoustic emanations.

Journal Of Public Transportation

Author :
ISBN : UCLA:L0106735228
Genre : Local transit
File Size : 29. 64 MB
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Dissertation Abstracts International

Author :
ISBN : STANFORD:36105132702593
Genre : Dissertations, Academic
File Size : 63. 48 MB
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Data Mining Concepts Methodologies Tools And Applications

Author : Management Association, Information Resources
ISBN : 9781466624566
Genre : Computers
File Size : 86. 62 MB
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Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Iui Conference Proceedings

Author :
ISBN : UOM:39015047296556
Genre : Artificial intelligence
File Size : 79. 55 MB
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Proceeding Of The International Conference On Computer Networks Big Data And Iot Iccbi 2019

Author : A. Pasumpon Pandian
ISBN : 9783030431921
Genre : Computers
File Size : 39. 95 MB
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This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications.

Artificial Intelligence And Applied Mathematics In Engineering Problems

Author : D. Jude Hemanth
ISBN : 9783030361785
Genre : Technology & Engineering
File Size : 74. 38 MB
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This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.

Advances In Communication And Computational Technology

Author : Gurdeep Singh Hura
ISBN : 9789811553417
Genre : Technology & Engineering
File Size : 57. 57 MB
Format : PDF
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This book presents high-quality peer-reviewed papers from the International Conference on Advanced Communication and Computational Technology (ICACCT) 2019 held at the National Institute of Technology, Kurukshetra, India. The contents are broadly divided into four parts: (i) Advanced Computing, (ii) Communication and Networking, (iii) VLSI and Embedded Systems, and (iv) Optimization Techniques.The major focus is on emerging computing technologies and their applications in the domain of communication and networking. The book will prove useful for engineers and researchers working on physical, data link and transport layers of communication protocols. Also, this will be useful for industry professionals interested in manufacturing of communication devices, modems, routers etc. with enhanced computational and data handling capacities.

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