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Articles 1 - 30 of 32
Full-Text Articles in Databases and Information Systems
Sewordsim: Software-Specific Word Similarity Database, Yuan Tian, David Lo, Julia Lawall
Sewordsim: Software-Specific Word Similarity Database, Yuan Tian, David Lo, Julia Lawall
David LO
Measuring the similarity of words is important in accurately representing and comparing documents, and thus improves the results of many natural language processing (NLP) tasks. The NLP community has proposed various measurements based on WordNet, a lexical database that contains relationships between many pairs of words. Recently, a number of techniques have been proposed to address software engineering issues such as code search and fault localization that require understanding natural language documents, and a measure of word similarity could improve their results. However, WordNet only contains information about words senses in general-purpose conversation, which often differ from word senses in …
Predicting Best Answerers For New Questions: An Approach Leveraging Topic Modeling And Collaborative Voting, Yuan Tian, Pavneet Singh Kochhar, Ee Peng Lim, Feida Zhu, David Lo
Predicting Best Answerers For New Questions: An Approach Leveraging Topic Modeling And Collaborative Voting, Yuan Tian, Pavneet Singh Kochhar, Ee Peng Lim, Feida Zhu, David Lo
David LO
Community Question Answering (CQA) sites are becoming increasingly important source of information where users can share knowledge on various topics. Although these platforms bring new opportunities for users to seek help or provide solutions, they also pose many challenges with the ever growing size of the community. The sheer number of questions posted everyday motivates the problem of routing questions to the appropriate users who can answer them. In this paper, we propose an approach to predict the best answerer for a new question on CQA site. Our approach considers both user interest and user expertise relevant to the topics …
On Finding The Point Where There Is No Return: Turning Point Mining On Game Data, Wei Gong, Ee Peng Lim, Feida Zhu, Achananuparp Palakorn, David Lo
On Finding The Point Where There Is No Return: Turning Point Mining On Game Data, Wei Gong, Ee Peng Lim, Feida Zhu, Achananuparp Palakorn, David Lo
David LO
Gaming expertise is usually accumulated through playing or watching many game instances, and identifying critical moments in these game instances called turning points. Turning point rules (shorten as TPRs) are game patterns that almost always lead to some irreversible outcomes. In this paper, we formulate the notion of irreversible outcome property which can be combined with pattern mining so as to automatically extract TPRs from any given game datasets. We specifically extend the well-known PrefixSpan sequence mining algorithm by incorporating the irreversible outcome property. To show the usefulness of TPRs, we apply them to Tetris, a popular game. We mine …
Principles Of Incident Response And Disaster Recovery, Michael Whitman, Herbert Mattord
Principles Of Incident Response And Disaster Recovery, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Are you ready to respond to an unauthorized intrusion to your computer network or server? Principles of Incident Response and Disaster Recovery presents methods to identify vulnerabilities and take appropriate countermeasures to prevent and mitigate failure risks for an organization. Not only does book present a foundation in disaster recovery principles and planning, but it also emphasizes the importance of incident response minimizing prolonged downtime that can potentially lead to irreparable loss. This book is the first of its kind to address the overall problem of contingency planning rather than focusing on specific tasks of incident response or disaster recovery.
Management Of Information Security, 1st Edition, Michael Whitman, Herbert Mattord
Management Of Information Security, 1st Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Management of Information Security is designed for senior and graduate-level business and information systems students who want to learn the management aspects of information security. This text takes a "view from the top" and presents important information for future managers regarding information security. The material covered in this text is often part of a capstone course in an information security.
Management Of Information Security, 2nd Edition, Michael Whitman, Herbert Mattord
Management Of Information Security, 2nd Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Information security-driven topic coverage is the basis for this updated book that will benefit readers in the information technology and business fields alike. Management of Information Security, provides an overview of information security from a management perspective, as well as a thorough understanding of the administration of information security. Written by two Certified Information Systems Security Professionals (CISSP), this book has the added credibility of incorporating the CISSP Common Body of Knowledge (CBK), especially in the area of information security management. The second edition has been updated to maintain the industry currency and academic relevance that made the previous edition …
Guide To Firewalls And Network Security: Intrusion Detection And Vpns, 2nd Edition, Michael Whitman, Herbert Mattord, Richard Austin, Greg Holden
Guide To Firewalls And Network Security: Intrusion Detection And Vpns, 2nd Edition, Michael Whitman, Herbert Mattord, Richard Austin, Greg Holden
Herbert J. Mattord
Firewalls are among the best-known security tools in use today, and their critical role in information security continues to grow. However, firewalls are most effective when they are backed by effective security planning, a well-designed security policy, and when they work in concert with anti-virus software, intrusion detection systems, and other tools. This book aims to explore firewalls in the context of these other elements, providing readers with a solid, in-depth introduction to firewalls that focuses on both managerial and technical aspects of security. Coverage includes packet filtering, authentication, proxy servers, encryption, bastion hosts, virtual private networks (VPNs), log file …
Principles Of Information Security, 3rd Edition, Michael Whitman, Herbert Mattord
Principles Of Information Security, 3rd Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Explore the field of information security and assurance with this valuable resource that focuses on both the managerial and technical aspects of the discipline. Principles of Information Security, Third Edition builds on internationally recognized standards and bodies of knowledge to provide the knowledge and skills that information systems students need for their future roles as business decision-makers. Coverage includes key knowledge areas of the CISSP (Certified Information Systems Security Professional), as well as risk management, cryptography, physical security, and more. The third edition has retained the real-world examples and scenarios that made previous editions so successful, but has updated the …
Management Of Information Security, 3rd Edition, Michael Whitman, Herbert Mattord
Management Of Information Security, 3rd Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Management of Information Security, Third Edition focuses on the managerial aspects of information security and assurance. Topics covered include access control models, information security governance, and information security program assessment and metrics. Coverage on the foundational and technical components of information security is included to reinforce key concepts. This new edition includes up-to-date information on changes in the field such as revised sections on national and international laws and international standards like the ISO 27000 series. With these updates, Management of Information Security continues to offer a unique overview of information security from a management perspective while maintaining a finger …
Principles Of Information Security, 2nd Edition, Michael Whitman, Herbert Mattord
Principles Of Information Security, 2nd Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Principles of Information Security examines the field of information security to prepare information systems students for their future roles as business decision-makers. This textbook presents a balance of the managerial and the technical aspects of the discipline and addresses knowledge areas of the CISSP (Certified Information Systems Security Professional) certification throughout. The authors discuss information security within a real-world context, by including examples of issues faced by today's professionals and by including tools, such as an opening vignette and "Offline" boxes with interesting sidebar stories in each chapter. Principles of Information Security also offers extensive opportunities for hands-on work.
Roadmap To Information Security: For It And Infosec Managers, Michael Whitman, Herbert Mattord
Roadmap To Information Security: For It And Infosec Managers, Michael Whitman, Herbert Mattord
Herbert J. Mattord
Roadmap to Information Security: For IT and Infosec Managers provides a solid overview of information security and its relationship to the information needs of an organization. Content is tailored to the unique needs of information systems professionals who find themselves brought in to the intricacies of information security responsibilities. The book is written for a wide variety of audiences looking to step up to emerging security challenges, ranging from students to experienced professionals. This book is designed to guide the information technology manager in dealing with the challenges associated with the security aspects of their role, providing concise guidance on …
Guide To Firewalls And Vpns, 3rd Edition, Michael Whitman, Herbert Mattord, Andrew Green
Guide To Firewalls And Vpns, 3rd Edition, Michael Whitman, Herbert Mattord, Andrew Green
Herbert J. Mattord
Firewalls are among the best-known network security tools in use today, and their critical role in information security continues to grow. However, firewalls are most effective when backed by thoughtful security planning, well-designed security policies, and integrated support from anti-virus software, intrusion detection systems, and related tools. GUIDE TO FIREWALLS AND VPNs, THIRD EDITION explores firewalls in the context of these critical elements, providing an in-depth guide that focuses on both managerial and technical aspects of security. Coverage includes packet filtering, authentication, proxy servers, encryption, bastion hosts, virtual private networks (VPNs), log file maintenance, and intrusion detection systems. The book …
Principles Of Information Security, 4th Edition, Michael Whitman, Herbert Mattord
Principles Of Information Security, 4th Edition, Michael Whitman, Herbert Mattord
Herbert J. Mattord
The fourth edition of Principles of Information Security explores the field of information security and assurance with updated content including new innovations in technology and methodologies. Students will revel in the comprehensive coverage that includes a historical overview of information security, discussions on risk management and security technology, current certification information, and more. The text builds on internationally-recognized standards and bodies of knowledge to provide the knowledge and skills students need for their future roles as business decision-makers. Information security in the modern organization is a management issue which technology alone cannot answer; it is a problem that has important …
F-Trail: Finding Patterns In Taxi Trajectories, Yasuko Matsubara, Evangelos Papalexakis, Lei Li, David Lo, Yasushi Sakurai, Christos Faloutsos
F-Trail: Finding Patterns In Taxi Trajectories, Yasuko Matsubara, Evangelos Papalexakis, Lei Li, David Lo, Yasushi Sakurai, Christos Faloutsos
David LO
Given a large number of taxi trajectories, we would like to find interesting and unexpected patterns from the data. How can we summarize the major trends, and how can we spot anomalies? The analysis of trajectories has been an issue of considerable interest with many applications such as tracking trails of migrating animals and predicting the path of hurricanes. Several recent works propose methods on clustering and indexing trajectories data. However, these approaches are not especially well suited to pattern discovery with respect to the dynamics of social and economic behavior. To further analyze a huge collection of taxi trajectories, …
Ontologies Of The Future And Interfaces For All: Archaeological Databases For The 21st Century, Angela Labrador
Ontologies Of The Future And Interfaces For All: Archaeological Databases For The 21st Century, Angela Labrador
Angela M Labrador
Archaeological database management systems serve the basic and important functions of ordering, archiving, and disseminating archaeological data. The increased availability of computers and data storage over the past two decades has enabled the exponential growth of archaeological databases and data models. Despite their importance and ubiquity, archaeological database systems are rarely the subject of theoretical analysis within the discipline due to their ‘‘black box’’ nature and the perceived objectivity of computerized systems. Inspired by H. Martin Wobst’s meditations on materiality and disciplinary ethics, in this paper I explore how archaeological database systems structure archaeological interpretation and disciplinary practice. In turn, …
Mining Top-K Large Structural Patterns In A Massive Network, Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu
Mining Top-K Large Structural Patterns In A Massive Network, Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu
David LO
With ever-growing popularity of social networks, web and bio-networks, mining large frequent patterns from a single huge network has become increasingly important. Yet the existing pattern mining methods cannot offer the efficiency desirable for large pattern discovery. We propose Spider- Mine, a novel algorithm to efficiently mine top-K largest frequent patterns from a single massive network with any user-specified probability of 1 − ϵ. Deviating from the existing edge-by-edge (i.e., incremental) pattern-growth framework, SpiderMine achieves its efficiency by unleashing the power of small patterns of a bounded diameter, which we call “spiders”. With the spider structure, our approach adopts a …
Towards Succinctness In Mining Scenario-Based Specifications, David Lo, Shahar Maoz
Towards Succinctness In Mining Scenario-Based Specifications, David Lo, Shahar Maoz
David LO
Specification mining methods are used to extract candidate specifications from system execution traces. A major challenge for specification mining is succinctness. That is, in addition to the soundness, completeness, and scalable performance of the specification mining method, one is interested in producing a succinct result, which conveys a lot of information about the system under investigation but uses a short, machine and human-readable representation. In this paper we address the succinctness challenge in the context of scenario-based specification mining, whose target formalism is live sequence charts (LSC), an expressive extension of classical sequence diagrams. We do this by adapting three …
Efficient Mining Of Iterative Patterns For Software Specification Discovery, David Lo, Siau-Cheng Khoo, Chao Liu
Efficient Mining Of Iterative Patterns For Software Specification Discovery, David Lo, Siau-Cheng Khoo, Chao Liu
David LO
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggravated by the phenomenon of software evolution. There is a need for automated tools to extract specifications to aid program comprehension. In this paper, a novel technique to efficiently mine common software temporal patterns from traces is proposed. These patterns shed light on program behaviors, and are termed iterative patterns. They capture unique characteristic of software traces, typically not found in arbitrary sequences. Specifically, due to loops, interesting iterative patterns can occur multiple times …
Smartic: Specification Mining Architecture With Trace Filtering And Clustering, David Lo, Siau-Cheng Khoo
Smartic: Specification Mining Architecture With Trace Filtering And Clustering, David Lo, Siau-Cheng Khoo
David LO
Improper management of software evolution, compounded by imprecise, and changing requirements, along with the "short time to market" requirement, commonly leads to a lack of up-to-date specifications. This can result in software that is characterized by bugs, anomalies and even security threats. Software specification mining is a new technique to address this concern by inferring specifications automatically. In this paper, we propose a novel API specification mining architecture called SMArTIC Specification Mining Architecture with Trace fIltering and Clustering) to improve the accuracy, robustness and scalability of specification miners. This architecture is constructed based on two hypotheses: (1) Erroneous traces should …
Mining Software Specifications, David Lo, Siau-Cheng Khoo
Mining Software Specifications, David Lo, Siau-Cheng Khoo
David LO
No abstract provided.
Mining Past-Time Temporal Rules: A Dynamic Analysis Approach, David Lo, Siau-Cheng Khoo, Chao Liu
Mining Past-Time Temporal Rules: A Dynamic Analysis Approach, David Lo, Siau-Cheng Khoo, Chao Liu
David LO
No abstract provided.
Efficient Mining Of Recurrent Rules From A Sequence Database, David Lo, Siau-Cheng Khoo, Chao Liu
Efficient Mining Of Recurrent Rules From A Sequence Database, David Lo, Siau-Cheng Khoo, Chao Liu
David LO
We study a novel problem of mining significant recurrent rules from a sequence database. Recurrent rules have the form "whenever a series of precedent events occurs, eventually a series of consequent events occurs". Recurrent rules are intuitive and characterize behaviors in many domains. An example is in the domain of software specifications, in which the rules capture a family of program properties beneficial to program verification and bug detection. Recurrent rules generalize existing work on sequential and episode rules by considering repeated occurrences of premise and consequent events within a sequence and across multiple sequences, and by removing the "window" …
Towards Better Quality Specification Miners, David Lo, Siau-Cheng Khoo
Towards Better Quality Specification Miners, David Lo, Siau-Cheng Khoo
David LO
Softwares are often built without specification. Tools to automatically extract specification from software are needed and many techniques have been proposed. One type of these specifications – temporal API specification – is often specified in the form of automaton (i.e., FSA/PFSA). There have been many work on mining software temporal specification using dynamic analysis techniques; i.e., analysis of software program traces. Unfortunately, the issues of scalability, robustness and accuracy of these techniques have not been comprehensively addressed. In this paper, we describe a framework that enables assessments of the performance of a specification miner in generating temporal specification of software …
Mining Patterns And Rules For Software Specification Discovery, David Lo, Siau-Cheng Khoo
Mining Patterns And Rules For Software Specification Discovery, David Lo, Siau-Cheng Khoo
David LO
Software specifications are often lacking, incomplete and outdated in the industry. Lack and incomplete specifications cause various software engineering problems. Studies have shown that program comprehension takes up to 45% of software development costs. One of the root causes of the high cost is the lack-of documented specification. Also, outdated and incomplete specification might potentially cause bugs and compatibility issues. In this paper, we describe novel data mining techniques to mine or reverse engineer these specifications from the pool of software engineering data. A large amount of software data is available for analysis. One form of software data is program …
Mining Specifications In Diversified Formats From Execution Traces, David Lo
Mining Specifications In Diversified Formats From Execution Traces, David Lo
David LO
Software evolves; this phenomenon causes increase in maintenance efforts, problem in comprehending the ever-changing code base and difficulty in verifying software correctness. As software changes, often the documented specification is not updated. Outdated specification adds challenge to the understanding of the code base during maintenance tasks. Also, software changes might induce bugs, anomalies and even security threats. To address the above issues, we propose an array of specification mining techniques to mine software specifications in diversified formats from program execution traces. Case studies on various systems show that the extracted specifications shed light on the behaviors of systems under analysis. …
Data Mining For Software Engineering, Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu
Data Mining For Software Engineering, Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu
David LO
To improve software productivity and quality, software engineers are increasingly applying data mining algorithms to various software engineering tasks. However, mining SE data poses several challenges. The authors present various algorithms to effectively mine sequences, graphs, and text from such data.
Specification Mining: A Concise Introduction, David Lo, Siau-Cheng Khoo, Chao Liu, Jiawei Han
Specification Mining: A Concise Introduction, David Lo, Siau-Cheng Khoo, Chao Liu, Jiawei Han
David LO
No abstract provided.
Terapixel Imaging Of Cosmological Simulations, Yu Feng, Rupert Croft, Tiziana Di Matteo, Nishikanta Khandai, Randy Sargent, Illah Nourbakhsh, Paul Dille, Chris Bartley, Volker Springel, Anirban Jana, Jeffrey Gardner
Terapixel Imaging Of Cosmological Simulations, Yu Feng, Rupert Croft, Tiziana Di Matteo, Nishikanta Khandai, Randy Sargent, Illah Nourbakhsh, Paul Dille, Chris Bartley, Volker Springel, Anirban Jana, Jeffrey Gardner
Randy Sargent
The increasing size of cosmological simulations has led to the need for new visualization techniques. We focus on smoothed particle hydrodynamic (SPH) simulations run with the GADGET code and describe methods for visually accessing the entire simulation at full resolution. The simulation snapshots are rastered and processed on supercomputers into images that are ready to be accessed through a Web interface (GigaPan). This allows any scientist with a Web browser to interactively explore simulation data sets in both spatial and temporal dimensions and data sets which in their native format can be hundreds of terabytes in size or more. We …
The Implementation Of A Visual Language Interface For An Object-Oriented Multi-Media Database System, Mun Kew Leong, Boon-Siong Choo, Chun-Hong Kok, Jyh-Jang Lim, Arcot Desai Narasimhalu
The Implementation Of A Visual Language Interface For An Object-Oriented Multi-Media Database System, Mun Kew Leong, Boon-Siong Choo, Chun-Hong Kok, Jyh-Jang Lim, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
This paper documents the ongoing implementation of the VILD visual language interface to the object-oriented multimedia database system, MDBMS. We set forth the infrastructure on which VILD has been developed, and describe in detail the three sections of the language system which have been completed: the Schema Editor to define the database, the Frame Editor to edit and enter data, and the Browser to view the data. We conclude with the query implementation of VILD.
Facial Identification System Using Multiple Retrievals Techniques, Jian Kang Wu, Arcot Desai Narasimhalu
Facial Identification System Using Multiple Retrievals Techniques, Jian Kang Wu, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
During a police investigation, officers often have to sort through hundreds of photographs to identify a suspect. To aid this task, we at the Institute of Systems Science developed and implemented a flexible database system that can retrieve faces using personal information, fuzzy and free-text descriptors, and classification trees.