Knowledge Discovery from Legal Databases

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law.

Author: Andrew Stranieri

Publisher: Springer Science & Business Media

ISBN: 1402030371

Category: Computers

Page: 298

View: 245

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

Research and Development in Knowledge Discovery and Data Mining

In that study, we collected data from commonplace cases dealing with property
distribution in Australian Family Law. ... led us to conclude that for knowledge
discovery in database techniques(KDD) to be applied usefully in legal domains, ...

Author: Xindong Wu

Publisher: Springer

ISBN: 3540697683

Category: Computers

Page: 434

View: 167

This book constitutes the refereed proceedings of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-98, held in Melbourne, Australia, in April 1998. The book presents 30 revised full papers selected from a total of 110 submissions; also included are 20 poster presentations. The papers contribute new results to all current aspects in knowledge discovery and data mining on the research level as well as on the level of systems development. Among the areas covered are machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software reengineering, and knowledge based systems.

Information Technology and Lawyers

Advanced Technology in the Legal Domain, from Challenges to Daily Routine
Arno R. Lodder, Anja Oskamp ... PHASES IN THE KNOWLEDGE DISCOVERY
FROM DATABASE PROCESS The KDD process begins with analysis of data
stored ...

Author: Arno R. Lodder

Publisher: Springer Science & Business Media

ISBN: 9781402041457

Category: Computers

Page: 198

View: 696

The area of Information Technology & Lawyers is a fascinating one. Both from a practical and an academic perspective the opportunities of applying Information Technology to law are tremendous. At the same time, however, lawyers are amongst the most conservative professionals, and traditional late adapters of technology. Nowadays the gap between Information Technology & Lawyers is closing more and more, in particular due to the Internet and the richness of legal sources that can be found online. This book provides material to further bridge the gap by showing people with a legal background what is possible with Information Technology now and in the near future, as well as by showing people with an IT background what opportunities exist in the domain of law. Any lawyer should read this book about the current practice of IT in the legal domain, and what is to be expected in the near future. The book is meant for both practitioners and academics, and can serve in any (post)graduate courses on computer science, law, business, etc. The editors Arno R. Lodder and Anja Oskamp are both affiliated to the Computer/Law Institute of the Vrije Universiteit Amsterdam, and before co-edited books on IT support of the Judiciary, as well as the first two editions of the Dutch handbook on IT & Lawyers.

Data Warehousing and Knowledge Discovery

In other words, these conditions enforce the legal data warehouse state to really
model a cube according the specification given in the schema. • the function
associated to a measure which does not appear in a fact is undefined for its cells:
∀f.

Author: Yahiko Kambayashi

Publisher: Springer

ISBN: 3540452281

Category: Computers

Page: 438

View: 112

This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.

Machine Learning and Knowledge Discovery in Databases

In this paper we applied multilabel classification algorithms to the EUR-Lex
database of legal documents of the European Union. On this document collection
, we studied three different multilabel classification problems, the largest being
the ...

Author: Walter Daelemans

Publisher: Springer Science & Business Media

ISBN: 3540874801

Category: Computers

Page: 698

View: 809

When in 1986 Yves Kodrato? started the European Working Session on Le- ning at Orsay, France, it could not be foreseen that the conference would grow year by year and become the premier European conference of the ?eld, attr- ting submissions from all over the world. The ?rst European Conference on Principles of Data Mining and Knowledge Discovery was organized by Henryk Jan Komorowskiand Jan Zytkowin 1997 in Trondheim, Norway. Since 2001the two conferences have been collocated, o?ering participants from both areas the opportunity to listen to each other's talks. This year, the integration has moved even further. Instead of ?rst splitting the ?eld according to ECML or PKDD topics, we ?attened the structure of the ?eld to a single set of topics. For each of the topics, experts were invited to the Program Committee. Submitted papers were gathered into one collection and characterized according to their topics. The reviewers were then asked to bid on all papers, regardlessof the conference. This allowed us to allocate papers more precisely. The hierarchical reviewing process as introduced in 2005 was continued. We nominated30AreaChairs,eachsupervisingthereviewsanddiscussionsofabout 17 papers. In addition, 307 reviewers completed the ProgramCommittee. Many thanks to all of them! It was a considerable e?ort for the reviewers to carefully review the papers, some providing us with additional reviews even at short - tice.

Data Warehousing and Knowledge Discovery

A federated data warehouse is a logical integration of data warehouses
applicable when physical integration is impossible due to privacy policy or legal
restrictions. In order to enable the translation of queries in a federated approach,
 ...

Author: Il Yeol Song

Publisher: Springer Science & Business Media

ISBN: 354074553X

Category: Computers

Page: 484

View: 927

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2007, held in Regensburg, Germany, September 2007. Coverage includes ETL processing, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, frequent itemsets, ontology-based mining, clustering, association rules, miscellaneous applications, and classification.

Data Mining and Knowledge Discovery Handbook

The problem of reformulating time-series network events so that conventional
classification-based data mining tools can ... issue in the telecommunications
industry relates to specific legal Data Mining in Telecommunications 1199
Conclusion.

Author: Oded Maimon

Publisher: Springer Science & Business Media

ISBN: 038725465X

Category: Computers

Page: 1383

View: 287

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Data Warehousing and Knowledge Discovery

In other words, these conditions enforce the legal data warehouse state to really
model a cube according the specification given in the schema. • the function
associated to a measure which does not appear in a fact is undefined for its cells:
V/.

Author:

Publisher:

ISBN:

Category: Data mining

Page:

View: 649


Statistical Data Mining and Knowledge Discovery

Data. Aleksandra B. Slavkovic Department of Statistics, Carnegie-Mellon
University, Pittsburgh, USA CONTENTS 7.1 ... Polygraphs are used by law
enforcement agencies and the legal community for criminal investigations, in the
private ...

Author: Hamparsum Bozdogan

Publisher: CRC Press

ISBN: 0203497155

Category: Business & Economics

Page: 624

View: 170

Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache

Data Warehousing and Knowledge Discovery

When releasing these patient- specific data for medical studies privacy protection
has to be guaranteed for ethical and legal reasons. k-anonymity may be used to
ensure privacy by generalising and suppressing attributes in order to release ...

Author: A Min Tjoa

Publisher: Springer Science & Business Media

ISBN: 3540377360

Category: Business & Economics

Page: 578

View: 511

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in Krakow, Poland in September 2006 in conjunction with DEXA 2006. The 53 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

Data Warehousing and Knowledge Discovery

Data Warehousing is becoming an increasingly important technology for
information integration and data analysis. ... We then propose a parallel
maintenance scheduler (PMS) that generates legal schedules that resolve these
conflicts.

Author: DaWaK 2002

Publisher: Springer Science & Business Media

ISBN: 3540441239

Category: Business & Economics

Page: 337

View: 618

This book constitutes the refereed proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002, held in Aix-en-Provence, France, in September 2002. The 32 revised full papers presented were carefully reviewed and selected from more than 100 submissions. The papers are organized in topical sections on association rules, clustering, web mining and security, data mining techniques, data cleansing, applications, data warehouse design, OLAP, and data warehouse maintenance.

Data Warehousing and Knowledge Discovery

Arguing from Experience to Classifying Noisy Data Maya Wardeh, Frans Coenen,
and Trevor Bench-Capon ... Computer automation and modelling of the
argumentation process has applications in legal reasoning, online auctions and
so on.

Author: Torben Bach Pedersen

Publisher: Springer Science & Business Media

ISBN: 3642037291

Category: Computers

Page: 480

View: 236

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009. The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on data warehouse modeling, data streams, physical design, pattern mining, data cubes, data mining applications, analytics, data mining, clustering, spatio-temporal mining, rule mining, and OLAP recommendation.

Advances in Knowledge Discovery and Data Mining

More importantly, this data can also be mined for intelligent qualitative and
quantitative system enhancements including ... The user is concerned with
invoking the system implementation with legal parameters and in a correct state (
e.g. only ...

Author: Honghua Dai

Publisher: Springer Science & Business Media

ISBN: 354022064X

Category: Business & Economics

Page: 713

View: 328

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.

Knowledge Discovery Process and Methods to Enhance Organizational Performance

The significance of knowledge discovery and data mining (KDDM) is on the rise
because it serves as the glue to ... of project management; strategy; financial
management; and other business, legal, privacy, ethical, and security
considerations.

Author: Kweku-Muata Osei-Bryson

Publisher: CRC Press

ISBN: 1482212382

Category: Business & Economics

Page: 404

View: 200

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to id

Computer Applications for Handling Legal Evidence Police Investigation and Case Argumentation

... and Textual Interconnections Link Analysis and Data Mining for Criminal
Investigation 6.1 Methods 6.1.1 An Introduction Already the second issue of the
new journal Wiley Interdisciplinary Reviews: Data Mining and Knowledge
Discovery ...

Author: Ephraim Nissan

Publisher: Springer Science & Business Media

ISBN: 904818990X

Category: Social Science

Page: 1340

View: 860

This book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.

Medical Data Mining and Knowledge Discovery

Before undertaking a project involving medical data , researchers should consult
their institution's legal counsel . The issues and rules discussed in this chapter
are complex , and can pose a significant risk of liability , not only to the institution
 ...

Author: J. Kacprzyk

Publisher: Physica

ISBN:

Category: Computers

Page: 496

View: 497

Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.

Principles of Data Mining and Knowledge Discovery

Can potential solutions to the problem be represented using simple data
structures such as bit strings or trees ? ... The typical mutation operator would
select a point in the tree and mutate it to any one of the possible legal values (
here , any ...

Author:

Publisher:

ISBN:

Category: Data mining

Page:

View: 672


7th Int Conf Industrial En

The time factor in such data can be utilized during the knowledge discovery
process to overcome some limitations ... as many subspaces , using the
remaining attributes values , as the legal number of ( quantized ) values of that
attribute .

Author: Frank D. Anger

Publisher: CRC Press

ISBN: 9782884491280

Category: Technology & Engineering

Page: 696

View: 580

Over the years, the promise of artificial intelligence has inspired many researchers and many schemes, only to have incipient hopes thwarted by its complexity. With each generation of computational engines, a new wave of enthusiasm sweeps the community as solutions to a few problems come within reach. However, intractability and undecidability continue to frustrate the unwary practitioner, while unsubstantiated methodologies offer ingenious solutions that hold more promise than potential. Despite its undulate past and variegated present, AI has made solid contributions to a growing information technology. Expert systems and allied tools have become a mainstay of industrial and business organizations; intelligent interfaces have increased accessibility of computational resources; and robotic innovations have redefined the manufacturing industries. Meanwhile, research in evolutionary algorithms, neural networks, fuzzy reasoning, and other exciting approaches promise continued progress in surprising new directions. These proceedings record the latest results of industrial, commercial, military, and academic artificial intelligence exploration. Seventy-seven papers divided into twenty different areas document a significant slice of this broad and exciting field. Although dozens of themes are treated in the papers, the topical divisions of this volume comprise: The Software Engineering/AI Interface, Knowledge-Based Systems. Temporal Reasoning, Machine Learning, Robotics, Intelligent Databases, Planning, Expert Systems Applications, Search Techniques, Genetic and Evolutionary Methods, Design, Qualitative Reasoning, Neural Networks, Knowledge Representation, Application Paradigms, Fuzzy and Pattern Recognition, Reasoning about Physical Systems, Parallel and Distributed AI, and Diagnostic Systems.

Profiling the European Citizen

Clarke, R., 'Profiling: A Hidden Challenge to the Regulation of Data Surveillance',
Journal of Law and Information ... Frawley, W., Piatetsky-Shapiro, G. and Matheus
, C., 'Knowledge discovery in databases: An Overview', AI Magazine, Vol.

Author: Mireille Hildebrandt

Publisher: Springer Science & Business Media

ISBN: 9781402069147

Category: Computers

Page: 374

View: 862

In the eyes of many, one of the most challenging problems of the information society is that we are faced with an ever expanding mass of information. Based on the work done within the European Network of Excellence (NoE) on the Future of Identity in Information Society (FIDIS), a set of authors from different disciplinary backgrounds and jurisdictions share their understanding of profiling as a technology that may be preconditional for the future of our information society.

Mobility Data Mining and Privacy

Geographic Knowledge Discovery Fosca Giannotti, Dino Pedreschi ... interesting
that the same conflict – essentially between opportunities and risks – can be read
either as a mathematical problem or as a social (or ethical or legal) challenge.

Author: Fosca Giannotti

Publisher: Springer Science & Business Media

ISBN: 9783540751779

Category: Computers

Page: 410

View: 668

Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.