Understanding Db2 R

Understanding Db2(R): Learning Visually With Examples, 2/E

Understanding LDAP - Design and Implementation

The implementation and exploitation of centralized, corporate-wide directories are among the top priority projects in most organizations. The need for a centralized directory emerges as organizations realize the overhead and cost involved in managing the many distributed micro and macro directories introduced in the past decade with decentralized client/server applications and network operating systems. Directories are key for successful IT operation and e-business application deployments in medium and large environments. IBM understands this requirement and supports it by providing directory implementations based on industry standards at no additional cost on all its major platforms and even important non-IBM platforms. The IBM Directory Server implements the Lightweight Directory Access Protocol (LDAP) standard that has emerged quickly in the past years as a result of the demand for such a standard. This IBM Redbooks publication will help you create a foundation of LDAP skills, as well as install and configure the IBM Directory Server. It is targeted at security architects and specialists who need to know the concepts and the detailed instructions for a successful LDAP implementation.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the 32nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Big Data Analytics and Knowledge Discovery, and contains extended and revised versions of five papers selected from the 17th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, during September 1-4, 2015. The five papers focus on the exact detection of information leakage, the binary shapelet transform for multiclass time series classification, a discrimination-aware association rule classifier for decision support (DAAR), new word detection and tagging on Chinese Twitter, and on-demand snapshot maintenance in data warehouses using incremental ETL pipelines, respectively. discovery,="" contains="" extended="" revised="" versions="" five="" papers="" selected="" from="" 17th="" international="" conference="" discovery="" (dawak="" 2015),="" held="" in="" valencia,="" spain,="" during="" september="" 1-4,="" 2015.="" focus="" exact="" detection="" information="" leakage,="" binary="" shapelet="" transform="" for="" multiclass="" time="" series="" classification,="" a="" discrimination-aware="" association="" rule="" classifier="" decision="" support="" (daar),="" new="" word="" tagging="" chinese="" twitter,="" on-demand="" snapshot="" maintenance="" warehouses="" using="" incremental="" etl="" pipelines,="" respectively.