Andere Kunden interessierten sich auch für
![Insider Threat: Memory Confidentiality and Integrity in the Cloud]( "Insider Threat: Memory Confidentiality and Integrity in the Cloud")
Insider Threat: Memory Confidentiality and Integrity in the Cloud27,99 €![Data Mining for Association Rules and Sequential Patterns]( "Data Mining for Association Rules and Sequential Patterns")
Data Mining for Association Rules and Sequential Patterns120,99 €![Data Mining for Association Rules and Sequential Patterns]( "Data Mining for Association Rules and Sequential Patterns")
Data Mining for Association Rules and Sequential Patterns81,99 €![Mining Sequential Patterns from Large Data Sets]( "Mining Sequential Patterns from Large Data Sets")
Mining Sequential Patterns from Large Data Sets75,99 €![Mining Sequential Patterns from Large Data Sets]( "Mining Sequential Patterns from Large Data Sets")
Mining Sequential Patterns from Large Data Sets119,99 €![Insider Threats]( "Insider Threats")
Insider Threats186,99 €![Reinforcement Learning for Sequential Decision and Optimal Control]( "Reinforcement Learning for Sequential Decision and Optimal Control")
Reinforcement Learning for Sequential Decision and Optimal Control59,99 €
Insider trading filings are a source of publicly available information available to anyone by the United States Securities and Exchange Commission (SEC). The fact that financial markets allow people to profit from knowledge about events that affect a company, provokes an interest in the behavior of those agents and their trading movements. This work is aimed at discovering sequential associations within insider trading information stored at the United States SEC Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system.